Publications

2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL L. Treven, B. Sukhija, Y. As, F. Dörfler, A. Krause In Advances in Neural Information Processing Systems (NeurIPS), 2024 [bibtex] [abstract] [pdf]
Bandits with Preference Feedback: A Stackelberg Game Perspective B. Pásztor, P. Kassraie, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2024 [bibtex] [abstract] [pdf]
Group Robust Preference Optimization in Reward-free RLHF S. S. Ramesh, Y. Hu, I. Chaimalas, V. Mehta, P. G. Sessa, H. B. Ammar, I. Bogunovic In Proc. Neural Information Processing Systems (NeurIPS), 2024 [bibtex] [abstract] [pdf]
Stochastic Bilevel Optimization with Lower-Level Contextual Markov Decision Processes V. Thoma, B. Pásztor, A. Krause, G. Ramponi, Y. Hu In Proc. Neural Information Processing Systems (NeurIPS), 2024 [bibtex] [abstract] [pdf]
Progressive Entropic Optimal Transport Solvers P. Kassraie, A. A. Pooladian, M. Klein, J. Thornton, J. Niles-Weed, M. Cuturi In Proc. Neural Information Processing Systems (NeurIPS), 2024 [bibtex] [abstract] [pdf]
NeoRL: Efficient Exploration for Nonepisodic RL B. Sukhija, L. Treven, F. Dörfler, S. Coros, A. Krause In Advances in Neural Information Processing Systems (NeurIPS), 2024 Spotlight [bibtex] [abstract] [pdf]
Transductive Active Learning: Theory and Applications J. Hübotter, B. Sukhija, L. Treven, Y. As, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2024 Oral presentation at Aligning Reinforcement Learning Experimentalists and Theorists Workshop at ICML [bibtex] [abstract] [pdf]
Generative Intervention Models for Causal Perturbation Modeling N. Schneider, L. Lorch, N. Kilbertus, B. Schölkopf, A. Krause In arXiv preprint arXiv:2411.14003, 2024 [bibtex] [abstract] [pdf]
Optimal Transport for Single-Cell and Spatial Omics C. Bunne, G. Schiebinger, A. Krause, A. Regev, M. Cuturi In Nature Reviews Methods Primers, 2024 [bibtex] [abstract] [pdf] [doi]
Bringing motion taxonomies to continuous domains via GPLVM on hyperbolic manifolds N. Jaquier, L. Rozo, M. González-Duque, V. Borovitskiy, T. Asfour In Proc. International Conference on Machine Learning (ICML), 2024 [bibtex] [abstract] [pdf]
Standardizing Structural Causal Models W. Ormaniec, S. Sussex, L. Lorch*, B. Schölkopf, A. Krause In arXiv preprint arXiv:2406.11601, 2024 [bibtex] [abstract] [pdf]
Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm M. R. Karimi, Y. P. Hsieh, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 [bibtex] [abstract] [pdf]
Submodular Reinforcement Learning M. Prajapat, M. Mutný, M. N. Zeilinger, A. Krause In Proc. International Conference on Learning Representations (ICLR), 2024 Spotlight presentation [bibtex] [abstract] [pdf]
Enhanced Sequence-Activity Mapping and Evolution of Artificial Metalloenzymes by Active Learning T. Vornholt, M. Mutný, G. W. Schmidt, R. T. Christian Schellhaas, S. Panke, T. R. Ward, A. Krause, M. Jeschek In ACS Central Science, volume 10, 2024 [bibtex] [abstract] [doi]
Causal Modeling with Stationary Diffusions L. Lorch, A. Krause, B. Schölkopf In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Oral presentation [bibtex] [abstract] [pdf] [code]
Intrinsic Gaussian Vector Fields on Manifolds D. Robert-Nicoud, A. Krause, V. Borovitskiy In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 [bibtex] [abstract] [pdf]
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning M. Jusup, B. Pásztor, T. Janik, K. Zhang, F. Corman, A. Krause, I. Bogunovic In Proc. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), International Foundation for Autonomous Agents and Multiagent Systems, 2024 [bibtex] [abstract] [pdf]
Provably Learning Nash Policies in Constrained Markov Potential Games P. Alatur, G. Ramponi, N. He, A. Krause In Proc. International Conference on Autonomous Agents and Multiagent Systems (AAMAS), International Foundation for Autonomous Agents and Multiagent Systems, 2024 [bibtex] [abstract] [pdf]
Adversarial Causal Bayesian Optimization S. Sussex, P. G. Sessa, A. Makarova, A. Krause In Proc. International Conference on Learning Representations (ICLR), 2024 [bibtex] [abstract] [pdf]
Hodge-Compositional Edge Gaussian Processes M. Yang, V. Borovitskiy, E. Isufi In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2024 [bibtex] [abstract] [pdf]
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning I. Usmanova, Y. As, M. Kamgarpour, A. Krause In Journal of Machine Learning Research, volume 25, 2024 [bibtex] [abstract] [pdf]
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning A. Bhardwaj, J. Rothfuss, B. Sukhija, Y. As, M. Hutter, S. Coros, A. Krause In IEEE Robotics and Automation Letters, IEEE, 2024 [bibtex] [abstract] [pdf]
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces S. Sundhar Ramesh, P. Giuseppe Sessa, Y. Hu, A. Krause, I. Bogunovic In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR, volume 238, 2024 [bibtex] [abstract] [pdf]
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization S. Zhang, Y. Hu, L. Zhang, N. He In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR, volume 238, 2024 [bibtex] [abstract] [pdf]
Active Fine-Tuning of Generalist Policies M. Bagatella, J. Hübotter, G. Martius, A. Krause In arXiv preprint arXiv:2410.05026, 2024 [bibtex] [abstract] [pdf]
Bridging the Sim-to-Real Gap with Bayesian Inference J. Rothfuss, B. Sukhija, L. Treven, F. Dörfler, S. Coros, A. Krause In Proc. of the IEEE Int. Conf. on Intelligent Robots and Systems (IROS), 2024 Oral presentation* [bibtex] [abstract] [pdf]
Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs J. Hübotter, S. Bongni, I. Hakimi, A. Krause In arXiv preprint arXiv:2410.08020, 2024 Oral presentation at Fine-Tuning in Modern Machine Learning Workshop at NeurIPS [bibtex] [abstract] [pdf]
Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case I. Azangulov, A. Smolensky, A. Terenin, V. Borovitskiy In Journal of Machine Learning Research, 2024 [bibtex] [abstract] [pdf]
2023
A Dynamical System View of Langevin-Based Non-Convex Sampling M. R. Karimi, Y. P. Hsieh, A. Krause In Proc. of Thirty Seventh Conference on Neural Information Processing Systems (NeurIPS), 2023 [bibtex] [abstract]
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice J. Rothfuss, M. Josifoski, V. Fortuin, A. Krause In Journal of Machine Learning Research, 2023 [bibtex] [abstract] [pdf]
Implicit Manifold Gaussian Process Regression B. Fichera, V. Borovitskiy, A. Krause, A. Billard In Proc. Neural Information Processing Systems (NeurIPS), 2023 [bibtex] [abstract] [pdf]
Optimistic Active Exploration of Dynamical Systems B. Sukhija, L. Treven, C. Sancaktar, S. Blaes, S. Coros, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2023 [bibtex] [abstract] [pdf]
Residual Deep Gaussian Processes on Manifolds for Geometry-aware Bayesian Optimization on Hyperspheres K. Wyrwal, V. Borovitskiy NeurIPS Workshop: Adaptive Experimental Design and Active Learning in the Real World, 2023 [bibtex] [abstract] [pdf]
Stochastic Approximation Algorithms for Systems of Interacting Particles M. R. Karimi, Y. P. Hsieh, A. Krause In Proc. of Thirty Seventh Conference on Neural Information Processing Systems (NeurIPS), 2023 [bibtex] [abstract]
Riemannian stochastic optimization methods avoid strict saddle points Y. P. Hsieh, M. R. Karimi, A. Krause, P. Mertikopoulos In Proc. of Thirty Seventh Conference on Neural Information Processing Systems (NeurIPS), 2023 [bibtex] [abstract]
Anytime Model Selection in Linear Bandits P. Kassraie, N. Emmenegger, A. Krause, A. Pacchiano In Proc. Neural Information Processing Systems (NeurIPS), 2023 Oral presentation at PAC-Bayes Meets Interactive Learning Workshop at ICML, and at the Royal Statistical Society International Conference [bibtex] [abstract] [pdf]
Efficient Exploration in Continuous-time Model-based Reinforcement Learning L. Treven, J. Hübotter, B. Sukhija, F. Dörfler, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2023 [bibtex] [abstract] [pdf]
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds P. Rosa, V. Borovitskiy, A. Terenin, J. Rousseau In Proc. Neural Information Processing Systems (NeurIPS), 2023 [bibtex] [abstract] [pdf]
Breeding Programs Optimization with Reinforcement Learning O. G. Younis, L. Corinzia, I. N. Athanasiadis, J. M. Buhmann, A. Krause, M. Turchetta NeurIPS Workshop: Tackling Climate Change with Machine Learning, 2023 [bibtex] [abstract] [pdf]
Instance-Dependent Generalization Bounds via Optimal Transport S. Hou, P. Kassraie, A. Kratsios, A. Krause, J. Rothfuss In Journal of Machine Learning Research, 2023 [bibtex] [abstract] [pdf]
DockGame: Cooperative Games for Multimeric Rigid Protein Docking V. R. Somnath, P. G. Sessa, M. R. Martinez, A. Krause In arXiv preprint arXiv:2310.06177, 2023 [bibtex] [abstract] [pdf]
Aligned Diffusion Schrödinger Bridges V. R. Somnath, M. Pariset, Y. P. Hsieh, M. R. Martinez, A. Krause, C. Bunne In Conference on Uncertainty in Artificial Intelligence (UAI), 2023 [bibtex] [abstract] [pdf]
Learning Single-Cell Perturbation Responses using Neural Optimal Transport C. Bunne, S. G. Stark, G. Gut, J. S. del Castillo, M. Levesque, K. V. Lehmann, L. Pelkmans, A. Krause, G. Ratsch In Nature Methods, Nature Publishing Group, 2023 [bibtex] [abstract] [pdf]
Lifelong Bandit Optimization: No Prior and No Regret F. Schur, P. Kassraie, J. Rothfuss, A. Krause In Conference on Uncertainty in Artificial Intelligence (UAI), 2023 [bibtex] [abstract] [pdf]
Gradient-Based Trajectory Optimization With Learned Dynamics B. Sukhija, N. Köhler, M. Zamora, S. Zimmermann, S. Curi, A. Krause, S. Coros In IEEE International Conference on Robotics and Automation (ICRA), 2023 [bibtex] [abstract] [pdf]
GoSafeOpt: Scalable safe exploration for global optimization of dynamical systems B. Sukhija, M. Turchetta, D. Lindner, A. Krause, S. Trimpe, D. Baumann In Artificial Intelligence Journal (AIJ), 2023 [bibtex] [abstract] [pdf]
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization D. Widmer, D. Kang, B. Sukhija, J. Hübotter, A. Krause, S. Coros In Proc. Conference on Robot Learning (CoRL), 2023 [bibtex] [abstract] [pdf]
Efficient Model-Based Multi-Agent Mean-Field Reinforcement Learning B. Pásztor, A. Krause, I. Bogunovic In Transactions on Machine Learning Research, 2023 [bibtex] [abstract] [pdf]
Unbalanced Diffusion Schrödinger Bridge M. Pariset, Y. P. Hsieh, C. Bunne, A. Krause, V. D. Bortoli In arXiv Preprint arXiv:2306.09099v1, 2023 [bibtex] [abstract] [pdf]
Model-based Causal Bayesian Optimization S. Sussex, A. Makarova, A. Krause In International Conference on Learning Representations (ICLR), 2023 Spotlight presentation [bibtex] [abstract] [pdf]
MARS: Meta-Learning as Score Matching in the Function Space K. L. Pavasovic, J. Rothfuss, A. Krause In International Conference on Learning Representations (ICLR), 2023 Spotlight presentation [bibtex] [abstract] [pdf]
The Schrödinger Bridge between Gaussian Measures has a Closed Form C. Bunne, Y. P. Hsieh, M. Cuturi, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Oral presentation [bibtex] [abstract] [pdf]
BaCaDI: Bayesian Causal Discovery with Unknown Interventions A. Hägele, J. Rothfuss, L. Lorch, V. R. Somnath, B. Schölkopf, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Oral presentation [bibtex] [abstract] [pdf]
Neural Unbalanced Optimal Transport via Cycle-Consistent Semi-Couplings F. Lübeck, C. Bunne, G. Gut, J. S. del Castillo, L. Pelkmans, D. Alvarez-Melis In arXiv preprint arXiv:2209.15621, 2023 [bibtex] [abstract] [pdf]
Isotropic Gaussian Processes on Finite Spaces of Graphs V. Borovitskiy, M. R. Karimi, V. R. Somnath, A. Krause In Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), PMLR, volume 206, 2023 [bibtex] [abstract] [pdf]
Contextual Stochastic Bilevel Optimization Y. Hu, J. Wang, Y. Xie, A. Krause, D. Kuhn In Advances in Neural Information Processing Systems, Curran Associates, Inc., volume 36, 2023 [bibtex] [abstract] [pdf]
Bayesian optimization for demographic inference E. Noskova, V. Borovitskiy In G3: Genes, Genomes, Genetics, Oxford University Press, volume 13, 2023 [bibtex] [abstract] [pdf]
ChromaX: a Fast and Scalable Breeding Program Simulator O. G. Younis, M. Turchetta, D. Ariza Suarez, S. Yates, B. Studer, I. N. Athanasiadis, A. Krause, J. M. Buhmann, L. Corinzia In Bioinformatics, Oxford University Press, volume 39, 2023 [bibtex] [abstract] [pdf]
Open problems and fundamental limitations of reinforcement learning from human feedback S. Casper, X. Davies, C. Shi, T. K. Gilbert, J. Scheurer, J. Rando, R. Freedman, T. Korbak, D. Lindner, P. Freire, T. Wang, S. Marks, C. R. Segerie, M. Carroll, A. Peng, P. Christoffersen, M. Damani, S. Slocum, U. Anwar, A. Siththaranjan, M. Nadeau, E. J. Michaud, J. Pfau, D. Krasheninnikov, X. Chen, L. Langosco, P. Hase, E. Biyik, A. Dragan, D. Krueger, D. Sadigh, D. Hadfield-Menell In Transactions on Machine Learning Research, 2023 [bibtex] [abstract] [pdf]
Stochastic Optimization under Hidden Convexity I. Fatkhullin, N. He, Y. Hu In arXiv preprint arXiv:2401.00108, 2023 [bibtex] [abstract] [pdf]
Learning Safety Constraints from Demonstrations with Unknown Rewards D. Lindner, X. Chen, S. Tschiatschek, K. Hofmann, A. Krause In The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023 [bibtex] [abstract] [pdf]
2022
Supervised Training of Conditional Monge Maps C. Bunne, A. Krause, M. Cuturi In Proc. Neural Information Processing Systems (NeurIPS), 2022 [bibtex] [abstract] [pdf]
Learning Long-Term Crop Management Strategies with CyclesGym M. Turchetta, L. Corinzia, S. Sussex, A. Burton, J. Herrera, I. N. Athanasiadis, J. M. Buhmann, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2022 [bibtex] [abstract] [pdf]
Near-Optimal Multi-Agent Learning for Safe Coverage Control M. Prajapat, M. Turchetta, M. N. Zeilinger, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2022 [bibtex] [abstract] [pdf]
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs Đ. Miladinovi\’c, K. Shridhar, K. Jain, M. B. Paulus, J. M. Buhmann, C. Allen In Proc. Neural Information Processing Systems (NeurIPS), 2022 [bibtex] [abstract] [pdf]
Active Bayesian Causal Inference C. Toth, L. Lorch, C. Knoll, A. Krause, F. Pernkopf, R. Peharz, J. von Kügelgen In Proc. Neural Information Processing Systems (NeurIPS), 2022 Spotlight presentation [bibtex] [abstract] [pdf]
Graph Neural Network Bandits P. Kassraie, A. Krause, I. Bogunovic In Proc. Neural Information Processing Systems (NeurIPS), 2022 [bibtex] [abstract] [pdf]
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems S. S. Ramesh, P. G. Sessa, A. Krause, I. Bogunovic In Proc. Neural Information Processing Systems (NeurIPS), 2022 [bibtex] [abstract] [pdf]
A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits I. Bogunovic, Z. Li, A. Krause, J. Scarlett In Proc. Neural Information Processing Systems (NeurIPS), 2022 [bibtex] [abstract] [pdf]
Active Exploration for Inverse Reinforcement Learning D. Lindner, A. Krause, G. Ramponi In Proc. Neural Information Processing Systems (NeurIPS), 2022 [bibtex] [abstract] [pdf] [code] [video]
Meta-Learning Priors for Safe Bayesian Optimization J. Rothfuss, C. Koenig, A. Rupenyan, A. Krause In Proc. Conference on Robot Learning (CoRL), 2022 Oral presentation [bibtex] [abstract] [pdf]
Amortized Inference for Causal Structure Learning L. Lorch, S. Sussex, J. Rothfuss, A. Krause, B. Schölkopf In Proc. Neural Information Processing Systems (NeurIPS), 2022 [bibtex] [abstract] [pdf] [code]
Experimental Design of Linear Functionals in Reproducing Kernel Hilbert Spaces M. Mutný, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2022 Oral presentation [bibtex] [abstract] [pdf]
Active Exploration via Experiment Design in Markov Chains M. Mutný, T. Janik, A. Krause arXiv, 2022 [bibtex] [abstract] [pdf] [doi]
Learning to Cut by Looking Ahead: Cutting Plane Selection via Imitation Learning M. B. Paulus, G. Zarpellon, A. Krause, L. Charlin, C. J. Maddison In Proc. International Conference on Machine Learning (ICML), 2022 [bibtex] [abstract] [pdf]
The Dynamics of Riemannian Robbins-Monro Algorithms M. R. Karimi, Y. P. Hsieh, P. Mertikopoulos, A. Krause In Proc. of Thirty Fifth Conference on Learning Theory (COLT), 2022 [bibtex] [abstract] [pdf]
Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata T. Chavdarova, Y. P. Hsieh, M. I. Jordan In arXiv preprint arXiv:2207.07105, 2022 [bibtex] [abstract] [pdf]
Meta-Learning Hypothesis Spaces for Sequential Decision-making P. Kassraie, J. Rothfuss, A. Krause In Proc. International Conference on Machine Learning (ICML), 2022 [bibtex] [abstract] [pdf]
Automatic Termination for Hyperparameter Optimization A. Makarova, H. Shen, V. Perrone, A. Klein, J. B. Faddoul, A. Krause, M. Seeger, C. Archambeau In Proc. International Conference on Automated Machine Learning (AutoML-Conf), 2022 Best Paper Award [bibtex] [abstract] [pdf]
Interactively Learning Preference Constraints in Linear Bandits D. Lindner, S. Tschiatschek, K. Hofmann, A. Krause In Proc. International Conference on Machine Learning (ICML), 2022 [bibtex] [abstract] [pdf] [code] [video] [blog]
Adaptive Gaussian Process Change Point Detection E. Caldarelli, P. Wenk, S. Bauer, A. Krause In Proc. International Conference for Machine Learning (ICML), 2022 [bibtex] [abstract] [pdf]
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation P. G. Sessa, M. Kamgarpour, A. Krause In Proc. International Conference on Machine Learning (ICML), 2022 [bibtex] [abstract] [pdf]
Tuning particle accelerators with safety constraints using Bayesian optimization J. Kirschner, M. Mutny, A. Krause, J. C. de Portugal, N. Hiller, J. Snuverink In Physical Review Accelerators and Beams, volume 25, 2022 [bibtex] [abstract] [pdf] [doi]
Learning in games from a stochastic approximation viewpoint P. Mertikopoulos, Y. P. Hsieh, V. Cevher In arXiv preprint arXiv:2206.03922, 2022 [bibtex] [abstract] [pdf]
Incentive-Compatible Forecasting Competitions J. Witkowski, R. Freeman, J. W. Vaughan, D. Pennock, A. Krause In Management Science, 2022 [bibtex] [abstract] [pdf]
Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking O. E. Ganea, X. Huang, C. Bunne, Y. Bian, R. Barzilay, T. S. Jaakkola, A. Krause In Proc. International Conference on Learning Representations (ICLR), 2022 Spotlight presentation [bibtex] [abstract] [pdf]
Constrained Policy Optimization via Bayesian World Models Y. As, I. Usmanova, S. Curi, A. Krause In Proc. International Conference on Learning Representations (ICLR), 2022 Spotlight presentation [bibtex] [abstract] [pdf] [code]
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning I. A. M. Huijben, W. Kool, M. B. Paulus, R. J. Van Sloun IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 [bibtex] [abstract] [pdf]
Proximal Optimal Transport Modeling of Population Dynamics C. Bunne, L. Meng-Papaxanthos, A. Krause, M. Cuturi In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Best Paper Award at ICML Time-Series Workshop [bibtex] [abstract] [pdf]
Neural Contextual Bandits without Regret P. Kassraie, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2022 [bibtex] [abstract] [pdf]
Machine intelligence for chemical reaction space P. Schwaller, A. C. Vaucher, R. Laplaza, C. Bunne, A. Krause, C. Corminboeuf, T. Laino In WIREs Computational Molecular Science Advanced Reviews, 2022 [bibtex] [abstract] [pdf] [doi]
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes E. Nava, M. Mutný, A. Krause In Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022 [bibtex] [abstract] [pdf]
Sensing Cox Processes via Posterior Sampling and Positive Bases M. Mutný, A. Krause In Proceedings of the 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022 [bibtex] [abstract] [pdf]
Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein M. Cuturi, L. Meng-Papaxanthos, Y. Tian, C. Bunne, G. Davis, O. Teboul In arXiv Preprint arXiv:2201.12324, 2022 [bibtex] [abstract] [pdf]
Augment with Care: Contrastive Learning for Combinatorial Problems H. Duan, P. Vaezipoor, M. B. Paulus, Y. Ruan, C. Maddison In International Conference on Machine Learning, 2022 [bibtex] [abstract] [pdf] [code]
2021
DiBS: Differentiable Bayesian Structure Learning L. Lorch, J. Rothfuss, B. Schölkopf, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2021 Spotlight presentation [bibtex] [abstract] [pdf] [code] [blog]
Information Directed Reward Learning for Reinforcement Learning D. Lindner, M. Turchetta, S. Tschiatschek, K. Ciosek, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2021 [bibtex] [abstract] [pdf] [code] [video] [blog]
Meta-Learning Reliable Priors in the Function Space J. Rothfuss, D. Heyn, J. Chen, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2021 [bibtex] [abstract] [pdf] [code]
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning S. Sussex, A. Krause, C. Uhler In Proc. Neural Information Processing Systems (NeurIPS), 2021 [bibtex] [abstract] [pdf]
Multi-Scale Representation Learning on Proteins V. R. Somnath, C. Bunne, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2021 [bibtex] [abstract] [pdf] [code]
Learning Graph Models for Retrosynthesis Prediction V. R. Somnath, C. Bunne, C. W. Coley, A. Krause, R. Barzilay In Proc. Neural Information Processing Systems (NeurIPS), 2021 Best Paper Award at ICML on Graph Representation Learning and Beyond [bibtex] [abstract] [pdf] [code]
Robust Generalization despite Distribution Shift via Minimum Discriminating Information T. Sutter, A. Krause, D. Kuhn In Proc. Neural Information Processing Systems (NeurIPS), 2021 [bibtex] [abstract] [pdf]
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models L. Treven, P. Wenk, F. Dörfler, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2021 [bibtex] [abstract] [pdf]
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems A. Schlaginhaufen, P. Wenk, A. Krause, F. Dörfler In Proc. Neural Information Processing Systems (NeurIPS), 2021 [bibtex] [abstract] [pdf]
Hierarchical Skills for Efficient Exploration J. Gehring, G. Synnaeve, A. Krause, N. Usunier In Proc. Neural Information Processing Systems (NeurIPS), 2021 [bibtex] [abstract] [pdf] [code]
Misspecified Gaussian Process Bandit Optimization I. Bogunovic, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2021 [bibtex] [abstract] [pdf]
Regret Bounds for Gaussian-Process Optimization in Large Domains M. Wüthrich, B. Sch\”ölkopf, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2021 [bibtex] [abstract] [pdf]
Instance-wise algorithm configuration with graph neural networks R. Valentin, C. Ferrari, J. Scheurer, A. Amrollahi, C. Wendler, M. B. Paulus NeurIPS Machine Learning for Combinatorial Optimization Competition, 2021 Student Winner [bibtex] [abstract] [pdf] [code]
Risk-averse Heteroscedastic Bayesian Optimization A. Makarova, I. Usmanova, I. Bogunovic, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2021 [bibtex] [abstract] [pdf] [video]
Asymptotically Optimal Information-Directed Sampling J. Kirschner, T. Lattimore, C. Vernade, C. Szepesvári In Proc. Conference on Learning Theory (COLT), 2021 [bibtex] [abstract] [pdf]
Addressing the Long-term Impact of ML Decisions via Policy Regret D. Lindner, H. Heidari, A. Krause In Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2021 [bibtex] [abstract] [pdf] [code] [video]
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems P. G. Sessa, I. Bogunovic, A. Krause, M. Kamgarpour In Proc. International Conference on Machine Learning (ICML), 2021 [bibtex] [abstract] [pdf]
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees J. Rothfuss, V. Fortuin, M. Josifoski, A. Krause In Proc. International Conference on Machine Learning (ICML), 2021 [bibtex] [abstract] [pdf] [code]
The limits of min-max optimization algorithms: Convergence to spurious non-critical sets Y. P. Hsieh, P. Mertikopoulos, V. Cevher In Proc. of Thirty Eighth International Conference on Machine Learning (ICML), 2021 [bibtex] [abstract] [pdf]
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers C. J. Simon-Gabriel, N. Sheikh, A. Krause In Proc. International Conference on Machine Learning (ICML), 2021 [bibtex] [abstract] [pdf] [long] [code]
Fast Projection Onto Convex Smooth Constraints I. Usmanova, M. Kamgarpour, A. Krause, K. Levy In Proc. International Conference on Machine Learning (ICML), 2021 [bibtex] [abstract] [pdf]
Bias-Robust Bayesian Optimization via Dueling Bandits J. Kirschner, A. Krause In Proc. International Conference on Machine Learning (ICML), 2021 [bibtex] [abstract] [pdf]
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning S. Curi, I. Bogunovic, A. Krause In Proc. International Conference on Machine Learning (ICML), 2021 [bibtex] [abstract] [pdf] [long]
A Human-in-the-loop Framework to Construct Context-aware Mathematical Notions of Outcome Fairness M. Yaghini, A. Krause, H. Heidari In In Proc. AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021 [bibtex] [abstract] [pdf] [poster] [video]
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation M. Usvyatsov, A. Makarova, R. Ballester-Ripoll, M. Rakhuba, A. Krause, K. Schindler In Proc. International Conference on Computer Vision (ICCV), 2021 [bibtex] [abstract] [pdf]
No-regret Algorithms for Capturing Events in Poisson Point Processes M. Mutný, A. Krause In Proc. International Conference on Machine Learning (ICML), 2021 [bibtex] [abstract] [pdf]
Semi-supervised Batch Active Learning via Bilevel Optimization Z. Borsos, M. Tagliasacchi, A. Krause In Proc. International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021 [bibtex] [abstract] [pdf] [code]
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory L. Treven, S. Curi, M. Mutný, A. Krause In Proc. Learning for Dynamics and Control (L4DC), 2021 [bibtex] [abstract] [pdf]
Safe and Efficient Model-free Adaptive Control via Bayesian Optimization C. König, M. Turchetta, J. Lygeros, A. Rupenyan, A. Krause In Proc. International Conference on Robotics and Automation (ICRA), 2021 [bibtex] [abstract] [pdf]
GoSafe: Globally Optimal Safe Robot Learning D. Baumann, A. Marco, M. Turchetta, S. Trimpe In Proc. International Conference on Robotics and Automation (ICRA), 2021 [bibtex] [abstract] [pdf]
Overfitting in Bayesian Optimization: an empirical study and early-stopping solution A. Makarova, H. Shen, V. Perrone, A. Klein, J. B. Faddoul, A. Krause, M. Seeger, C. Archambeau ICLR Workshop on Neural Architecture Search, 2021 [bibtex] [abstract] [pdf] [video]
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator M. B. Paulus, C. J. Maddison, A. Krause In Proc. International Conference on Learning Representations (ICLR), 2021 Oral presentation [bibtex] [abstract] [pdf]
Risk-Averse Offline Reinforcement Learning N. A. Urpí, S. Curi, A. Krause In Proc. International Conference on Learning Representations (ICLR), 2021 [bibtex] [abstract] [pdf] [code]
Learning What To Do by Simulating the Past D. Lindner, R. Shah, P. Abbeel, A. Dragan In Proc. International Conference on Learning Representations (ICLR), 2021 [bibtex] [abstract] [pdf] [code] [video] [blog]
Logistic Q-Learning J. Bas-Serrano, S. Curi, A. Krause, G. Neu In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Oral presentation [bibtex] [abstract] [pdf]
Online Active Model Selection for Pre-trained Classifiers M. R. Karimi, N. M. Gürel, B. Karlaš, J. Rausch, C. Zhang, A. Krause In International Conference on Artificial Intelligence and Statistics (AISTATS), 2021 [bibtex] [abstract] [pdf] [code]
Stochastic Linear Bandits Robust to Adversarial Attacks I. Bogunovic, A. Losalka, A. Krause, J. Scarlett In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2021 [bibtex] [abstract] [pdf]
Efficient Pure Exploration for Combinatorial Bandits with Semi-Bandit Feedback M. Jourdan, M. Mutný, J. Kirschner, A. Krause In Proc. International Conference on Algorithmic Learning Theory (ALT), 2021 [bibtex] [abstract] [pdf]
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases C. Wendler, A. Amrollahi, B. Seifert, A. Krause, M. Puschel In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), 2021 [bibtex] [abstract] [pdf]
An Empirical Investigation of Representation Learning for Imitation X. Chen, S. Toyer, C. Wild, S. Emmons, I. Fischer, K. H. Lee, N. Alex, S. H. Wang, P. Luo, S. Russell, others In Advances in Neural Information Processing Systems, 2021 [bibtex] [abstract] [pdf]
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics F. Berkenkamp, A. Krause, A. P. Schoellig In Machine Learning Journal, Special Issue on Robust Machine Learning, 2021 [bibtex] [abstract] [pdf] [code] [video] [doi]
2020
Safe Reinforcement Learning via Curriculum Induction M. Turchetta, A. Kolobov, S. Shah, A. Krause, A. Agarwal In Proc. Neural Information Processing Systems (NeurIPS), 2020 Spotlight presentation [bibtex] [abstract] [pdf] [poster] [code]
Gradient Estimation with Stochastic Softmax Tricks M. B. Paulus, D. Choi, D. Tarlow, A. Krause, C. J. Maddison In Proc. Neural Information Processing Systems (NeurIPS), 2020 Oral presentation [bibtex] [abstract] [pdf] [code]
Coresets via Bilevel Optimization for Continual Learning and Streaming Z. Borsos, M. Mutný, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2020 [bibtex] [abstract] [pdf] [code]
Adaptive Sampling for Stochastic Risk-Averse Learning S. Curi, K. Y. Levy, S. Jegelka, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2020 [bibtex] [abstract] [pdf] [poster] [code]
Learning to Play Sequential Games versus Unknown Opponents P. G. Sessa, I. Bogunovic, M. Kamgarpour, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2020 [bibtex] [abstract] [pdf]
Contextual Games: Multi-Agent Learning with Side Information P. G. Sessa, I. Bogunovic, A. Krause, M. Kamgarpour In Proc. Neural Information Processing Systems (NeurIPS), 2020 [bibtex] [abstract] [pdf]
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning S. Curi, F. Berkenkamp, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2020 Spotlight presentation [bibtex] [abstract] [pdf] [poster] [code]
Information Directed Sampling for Linear Partial Monitoring J. Kirschner, T. Lattimore, A. Krause In Proc. Conference on Learning Theory (COLT), 2020 [bibtex] [abstract] [pdf]
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models A. Sahin, Y. Bian, J. Buhmann, A. Krause In Proc. International Conference on Machine Learning (ICML), 2020 [bibtex] [abstract] [pdf]
Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models S. Curi, S. Melchior, F. Berkenkamp, A. Krause In Proc. Conference on Learning for Dynamics and Control (L4DC), 2020 [bibtex] [abstract] [pdf]
Corruption-Tolerant Gaussian Process Bandit Optimization I. Bogunovic, A. Krause, J. Scarlett In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 [bibtex] [abstract] [pdf]
Robust Model-free Reinforcement Learning with Multi-objective Bayesian Optimization M. Turchetta, A. Krause, S. Trimpe In Proc. of the International Conference on Robotics and Automation (ICRA), 2020 [bibtex] [abstract] [pdf]
Convergence Analysis of Block Coordinate Algorithms with Determinantal Sampling M. Mutný, M. Derezisnki, A. Krause In Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 [bibtex] [abstract] [pdf]
Safe non-smooth black-box optimization with application to policy search I. Usmanova, A. Krause, M. Kamgarpour In Proc. Conference on Learning for Dynamics and Control (L4DC), 2020 [bibtex] [abstract] [pdf]
A Real-Robot Dataset for Assessing Transferability of Learned Dynamics Models D. Agudelo-España, A. Zadaianchuk, P. Wenk, A. Garg, J. Akpo, F. Grimminger, J. Viereck, M. Naveau, L. Righetti, G. Martius, A. Krause, B. Schölkopf, S. Bauer, M. Wüthrich In 2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 [bibtex] [abstract] [doi]
Mixed Strategies for Robust Optimization of Unknown Objectives P. G. Sessa, I. Bogunovic, M. Kamgarpour, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 [bibtex] [abstract] [pdf]
Distributionally Robust Bayesian Optimization J. Kirschner, I. Bogunovic, S. Jegelka, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2020 [bibtex] [abstract] [pdf]
Multi-Player Bandits: The Adversarial Case P. Alatur, K. Y. Levy, A. Krause In Journal of Machine Learning Research (JMLR), volume 21, 2020 [bibtex] [abstract] [pdf]
Experimental Design for Optimization of Orthogonal Projection Pursuit Models M. Mutný, J. Kirschner, A. Krause In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020 [bibtex] [abstract] [pdf]
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems P. Wenk, G. Abbati, S. Bauer, M. A. Osborne, A. Krause, B. Schölkopf In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI), 2020 [bibtex] [abstract] [pdf]
SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives E. Angelis, P. Wenk, B. Schölkopf, S. Bauer, A. Krause In arXiv preprint arXiv:2003.02658, 2020 [bibtex] [abstract]
Hierarchical Image Classification using Entailment Cone Embeddings A. Dhall, A. Makarova, O. Ganea, D. Pavllo, M. Greeff, A. Krause CVPR Workshop on Differential Geometry in Computer Vision and Machine Learning, 2020 [bibtex] [abstract] [pdf]
Mixed-Variable Bayesian Optimization E. Daxberger, A. Makarova, M. Turchetta, A. Krause In Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2020 [bibtex] [abstract] [pdf]
Incorporating interpretable output constraints in Bayesian neural networks W. Yang, L. Lorch, M. Graule, H. Lakkaraju, F. Doshi-Velez In , volume 33, 2020 Spotlight presentation [bibtex] [abstract] [pdf]
2019
Safe Exploration for Interactive Machine Learning M. Turchetta, F. Berkenkamp, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2019 [bibtex] [abstract] [pdf]
Stochastic Bandits with Context Distributions J. Kirschner, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2019 [bibtex] [abstract] [pdf] [talk]
Efficiently Learning Fourier Sparse Set Functions A. Amrollahi, A. Zandieh, M. Kapralov, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2019 Spotlight presentation [bibtex] [abstract] [pdf] [long]
Teaching Multiple Concepts to a Forgetful Learner A. Hunziker, Y. Chen, O. M. Aodha, M. G. Rodriguez, A. Krause, P. Perona, Y. Yue, A. Singla In Proc. Neural Information Processing Systems (NeurIPS), 2019 [bibtex] [abstract] [pdf]
Safe contextual Bayesian optimization for sustainable room temperature PID control tuning M. Fiducioso, S. Curi, B. Schumacher, M. Gwerder, A. Krause In Proceedings of the 28th International Joint Conference on Artificial Intelligence, 2019 [bibtex] [abstract] [pdf]
No-Regret Learning in Unknown Games with Correlated Payoffs P. G. Sessa, I. Bogunovic, M. Kamgarpour, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2019 [bibtex] [abstract] [pdf]
A Domain Agnostic Measure for Monitoring and Evaluating GANs P. Grnarova, K. Y. Levy, A. Lucchi, N. Perraudin, I. Goodfellow, T. Hofmann, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2019 [bibtex] [abstract] [pdf]
Adaptive Sequence Submodularity M. Mitrovic, E. Kazemi, M. Feldman, A. Krause, A. Karbasi In Proc. Neural Information Processing Systems (NeurIPS), 2019 [bibtex] [abstract] [pdf]
Mathematical Notions vs. Human Perception of Fairness: A Descriptive Approach to Fairness for Machine Learning M. Srivastava, H. Heidari, A. Krause In Proceedings of the International Conference on Knowledge Discovery and Data Mining (KDD), 2019 [bibtex] [abstract] [pdf]
Noise Regularization for Conditional Density Estimation J. Rothfuss, F. Ferreira, S. Boehm, S. Walther, M. Ulrich, T. Asfour, A. Krause ArXiv, 2019 [bibtex] [abstract] [pdf] [code]
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces J. Kirschner, M. Mutný, N. Hiller, R. Ischebeck, A. Krause In Proc. International Conference for Machine Learning (ICML), 2019 [bibtex] [abstract] [pdf]
Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference Y. Bian, J. M. Buhmann, A. Krause In Proc. International Conference on Machine Learning (ICML), 2019 [bibtex] [abstract] [pdf]
Bayesian Optimization for Fast and Safe Parameter Tuning of SwissFEL J. Kirschner, M. Nonnenmacher, M. Mutný, N. Hiller, A. Adelmann, R. Ischebeck, A. Krause In Proc. International Free-Electron Laser Conference (FEL2019), 2019 [bibtex] [abstract] [pdf]
AReS and MaRS – Adversarial and MMD-Minimizing Regression for SDEs G. Abbati, P. Wenk, S. Bauer, M. A. Osborne, A. Krause, B. Schölkopf In Proc. International Conference on Machine Learning (ICML), 2019 Oral presentation [bibtex] [abstract] [pdf]
Learning Generative Models across Incomparable Spaces C. Bunne, D. Alvarez-Melis, A. Krause, S. Jegelka In Proc. International Conference on Machine Learning (ICML), 2019 Best Paper Award at NeurIPS Workshop on Relational Representation Learning [bibtex] [abstract] [pdf]
Online Variance Reduction with Mixtures Z. Borsos, S. Curi, K. Y. Levy, A. Krause In Proc. International Conference on Machine Learning (ICML), 2019 [bibtex] [abstract] [pdf]
Information-Directed Exploration for Deep Reinforcement Learning N. Nikolov, J. Kirschner, F. Berkenkamp, A. Krause In Proc. International Conference on Learning Representations (ICLR), 2019 [bibtex] [abstract] [pdf] [poster]
Safe Convex Learning under Uncertain Constraints I. Usmanova, A. Krause, M. Kamgarpour In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 [bibtex] [abstract] [pdf]
Projection Free Online Learning Over Smooth Sets K. Y. Levy, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 [bibtex] [abstract] [pdf]
Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs P. Wenk, A. Gotovos, S. Bauer, N. S. Gorbach, A. Krause, J. M. Buhmann In International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 [bibtex] [abstract] [pdf]
Consistent Online Optimization: Convex and Submodular M. R. Karimi, A. Krause, S. Lattanzi, S. Vassilvitskii In International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 [bibtex] [abstract] [pdf]
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature P. G. Sessa, M. Kamgarpour, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2019 [bibtex] [abstract] [pdf]
No-Regret Bayesian Optimization with Unknown Hyperparameters F. Berkenkamp, A. P. Schoellig, A. Krause In Journal of Machine Learning Research (JMLR), volume 20, 2019 [bibtex] [abstract] [pdf]
A Moral Framework for Understanding of Fair ML through Economic Models of Equality of Opportunity H. Heidari, M. Loi, K. P. Gummadi, A. Krause In ACM Conference on Fairness, Accountability, and Transparency (ACM FAT*), 2019 [bibtex] [abstract] [pdf]
Adaptive Input Estimation in Linear Dynamical Systems with Applications to Learning-from-Observations S. Curi, K. Y. Levy, A. Krause In 2019 IEEE 58th Conference on Decision and Control (CDC), 2019 [bibtex] [abstract] [pdf]
Output-constrained Bayesian neural networks W. Yang, L. Lorch, M. A. Graule, S. Srinivasan, A. Suresh, J. Yao, M. F. Pradier, F. Doshi-Velez In ICML 2019 Workshops on Uncertainty and Robustness in Deep Learning and on Understanding and Improving Generalization in Deep Learning, 2019 [bibtex] [abstract] [pdf]
Predicting program properties from ‘big code’ V. Raychev, M. T. Vechev, A. Krause In Communications of the ACM, volume 62, 2019 [bibtex] [abstract] [pdf] [doi]
2018
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features M. Mutný, A. Krause In Neural and Information Processing Systems (NeurIPS), 2018 Spotlight presentation [bibtex] [abstract] [pdf]
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making H. Heidari, C. Ferrari, K. P. Gummadi, A. Krause In Neural and Information Processing Systems (NeurIPS), 2018 [bibtex] [abstract] [pdf] [poster]
Learning-based Model Predictive Control for Safe Exploration T. Koller, F. Berkenkamp, M. Turchetta, A. Krause In Proc. of the IEEE Conference on Decision and Control (CDC), 2018 [bibtex] [abstract] [pdf] [code]
Online Adaptive Methods, Universality and Acceleration K. Y. Levy, A. Yurtsever, V. Cevher In Neural and Information Processing Systems (NeurIPS), 2018 [bibtex] [abstract] [pdf]
Provable Variational Inference for Constrained Log-Submodular Models J. Djolonga, S. Jegelka, A. Krause In Neural Information Processing Systems (NeurIPS), 2018 [bibtex] [abstract] [pdf] [long]
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems S. M. Richards, F. Berkenkamp, A. Krause In Proceedings of The 2nd Conference on Robot Learning, PMLR, volume 87, 2018 Oral presentation [bibtex] [abstract] [pdf] [code] [video]
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations M. Pfeiffer, S. Shukla, M. Turchetta, C. Cadena, A. Krause, R. Siegwart, J. Nieto In IEEE Robotics and Automation Letters, IEEE, volume 3, 2018 [bibtex] [abstract] [pdf]
Scalable k-Means Clustering via Lightweight Coresets O. Bachem, M. Lucic, A. Krause In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2018 [bibtex] [abstract] [pdf]
Discrete Sampling using Semigradient-based Product Mixtures A. Gotovos, H. Hassani, A. Krause, S. Jegelka In Conference on Uncertainty in Artificial Intelligence (UAI), 2018 Oral presentation [bibtex] [abstract] [pdf] [long] [talk] [poster]
Online Variance Reduction for Stochastic Optimization Z. Borsos, A. Krause, K. Y. Levy In Proc. Conference on Learning Theory (COLT), 2018 [bibtex] [abstract] [pdf] [code]
Differentiable Submodular Maximization S. Tschiatschek, A. Sahin, A. Krause In Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2018 [bibtex] [abstract] [pdf]
Information Directed Sampling and Bandits with Heteroscedastic Noise J. Kirschner, A. Krause In Proc. Conference on Learning Theory (COLT), 2018 [bibtex] [abstract] [pdf]
Training Gaussian Mixture Models at Scale via Coresets M. Lucic, M. Faulkner, A. Krause, D. Feldman In Journal of Machine Learning Research (JMLR), volume 18, 2018 [bibtex] [abstract] [pdf]
One-Shot Coresets: The Case of k-Clustering O. Bachem, M. Lucic, S. Lattanzi In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2018 [bibtex] [abstract] [pdf]
Submodularity on Hypergraphs: From Sets to Sequences M. Mitrovic, M. Feldman, A. Krause, A. Karbasi In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2018 [bibtex] [abstract] [pdf]
Incentive-Compatible Forecasting Competitions J. Witkowski, R. Freeman, J. W. Vaughan, D. Pennock, A. Krause In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI’18), 2018 [bibtex] [abstract] [pdf]
Streaming Non-monotone Submodular Maximization: Personalized Video Summarization on the Fly B. Mirzasoleiman, S. Jegelka, A. Krause In Proc. Conference on Artificial Intelligence (AAAI), 2018 [bibtex] [abstract] [pdf] [long]
Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints A. S. Goran Radanovic, A. Krause, B. Faltings In Proc. Conference on Artificial Intelligence (AAAI), 2018 [bibtex] [abstract] [pdf] [long]
Learning to Interact with Learning Agents A. Singla, H. Hassani, A. Krause In Proc. Conference on Artificial Intelligence (AAAI), 2018 [bibtex] [abstract] [pdf] [long]
Learning User Preferences to Incentivize Exploration in the Sharing Economy C. Hirnschall, A. Singla, S. Tschiatschek, A. Krause In Proc. Conference on Artificial Intelligence (AAAI), 2018 [bibtex] [abstract] [pdf] [long]
A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions E. Schulz, M. Speekenbrink, A. Krause In Journal of Mathematical Psychology, volume 85, 2018 [bibtex] [abstract] [pdf] [doi]
Generalization and search in risky environments E. Schulz, C. M. Wu, Q. J. M. Huys, A. Krause, M. Speekenbrink In Cognitive Science, 2018 [bibtex] [abstract] [pdf]
Parallel Stochastic Newton Method M. Mutný, P. Richtárik In Journal of Computational Mathematics, volume 36, 2018 [bibtex] [abstract] [pdf]
Stochastic optimal control of epidemic processes in networks L. Lorch, A. De, S. Bhatt, W. Trouleau, U. Upadhyay, M. Gomez-Rodriguez In NeurIPS 2018 Workshop on Machine Learning for Health (ML4H), 2018 [bibtex] [abstract] [pdf]
An Online Learning Approach to Generative Adversarial Networks P. Grnarova, K. Y. Levy, A. Lucchi, T. Hofmann, A. Krause In Proc. International Conference on Learning Representations (ICLR), 2018 [bibtex] [abstract] [pdf]
2017
Interactive Submodular Bandit L. Chen, A. Krause, A. Karbasi In Neural Information Processing Systems (NeurIPS), 2017 [bibtex] [abstract] [pdf]
Safe Model-based Reinforcement Learning with Stability Guarantees F. Berkenkamp, M. Turchetta, A. P. Schoellig, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2017 [bibtex] [abstract] [pdf] [code] [video]
Near-optimal Bayesian active Learning with correlated and noisy tests Y. Chen, S. H. Hassani, A. Krause In Electronic Journal of Statistics, The Institute of Mathematical Statistics and the Bernoulli Society, volume 11, 2017 [bibtex] [abstract] [pdf] [doi]
Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms A. Bian, K. Levy, A. Krause, J. M. Buhmann In Neural Information Processing Systems (NeurIPS), 2017 [bibtex] [abstract] [pdf]
Stochastic Submodular Maximization: The Case of Coverage Functions M. R. Karimi, M. Lucic, H. Hassani, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2017 [bibtex] [abstract] [pdf]
Differentiable Learning of Submodular Models J. Djolonga, A. Krause In Neural Information Processing Systems (NeurIPS), 2017 Spotlight presentation [bibtex] [abstract] [pdf] [code]
Learning Implicit Generative Models Using Differentiable Graph Tests J. Djolonga, A. Krause Technical report, arXiv, 2017 [bibtex] [abstract] [pdf]
Algorithms for Learning Sparse Additive Models with Interactions in High Dimensions H. Tyagi, A. Kyrillidis, B. Gärtner, A. Krause In Information and Inference: A Journal of the IMA, volume 7, 2017 [bibtex] [abstract] [pdf] [doi]
A Geometric Perspective on Minimal Peer Prediction R. Frongillo, J. Witkowski In ACM Transactions on Economics and Computation (TEAC), volume 5, 2017 [bibtex] [abstract] [pdf]
Improving Optimization-Based Approximate Inference by Clamping Variables J. Zhao, J. Djolonga, S. Tschiatschek, A. Krause In Conference on Uncertainty in Artificial Intelligence (UAI), 2017 [bibtex] [abstract] [pdf]
Uniform Deviation Bounds for k-Means Clustering O. Bachem, M. Lucic, S. H. Hassani, A. Krause In Proc. International Conference on Machine Learning (ICML), 2017 [bibtex] [abstract] [pdf]
Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting Y. Chen, J. M. Renders, M. H. Chehreghani, A. Krause In Conference on Uncertainty in Artificial Intelligence (UAI), 2017 [bibtex] [abstract] [pdf]
Probabilistic Submodular Maximization in Sub-Linear Time S. Stan, M. Zadimoghaddam, A. Krause, A. Karbasi In Proc. International Conference on Machine Learning (ICML), 2017 [bibtex] [abstract] [pdf] [long]
Differentially Private Submodular Maximization: Data Summarization in Disguise M. Mitrovic, M. Bun, A. Krause, A. Karbasi In Proc. International Conference on Machine Learning (ICML), 2017 [bibtex] [abstract] [pdf] [long]
Distributed and Provably Good Seedings for k-Means in Constant Rounds O. Bachem, M. Lucic, A. Krause In Proc. International Conference on Machine Learning (ICML), 2017 [bibtex] [abstract] [pdf]
Guarantees for Greedy Maximization of Non-submodular Functions with Applications A. A. Bian, J. Buhmann, A. Krause, S. Tschiatschek In Proc. International Conference on Machine Learning (ICML), 2017 [bibtex] [abstract] [pdf] [long]
Deletion-Robust Submodular Maximization: Data Summarization with ”the Right to be Forgotten” B. Mirzasoleiman, A. Karbasi, A. Krause In Proc. International Conference on Machine Learning (ICML), 2017 [bibtex] [abstract] [pdf] [long]
Online to Offline Conversions, Universality and Adaptive Minibatch Sizes K. Y. Levy Technical report, arXiv, 2017 [bibtex] [abstract] [pdf]
Learning and Incentives in Crowd-Powered Systems A. Singla PhD thesis, ETH Zurich, 2017 [bibtex] [abstract] [pdf]
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization A. Marco, F. Berkenkamp, P. Hennig, A. P. Schoellig, A. Krause, S. Schaal, S. Trimpe In Proc. of the International Conference on Robotics and Automation (ICRA), 2017 [bibtex] [abstract] [pdf]
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests Y. Chen, S. H. Hassani, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2017 [bibtex] [abstract] [pdf] [long]
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains A. A. Bian, B. Mirzasoleiman, J. M. Buhmann, A. Krause In The 20th International conference on Artificial Intelligence and Statistics (AISTATS), 2017 [bibtex] [abstract] [pdf] [long]
Proper Proxy Scoring Rules J. Witkowski, P. Atanasov, L. H. Ungar, A. Krause In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI’17), 2017 forthcoming [bibtex] [abstract] [pdf]
Selecting Sequences of Items via Submodular Maximization S. Tschiatschek, A. Singla, A. Krause In Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI’17), 2017 [bibtex] [abstract] [pdf] [long]
Big Data Summarization Using Submodular Functions B. Mirzasoleiman PhD thesis, ETH Zurich, 2017 [bibtex] [abstract] [pdf]
Computational and Statistical Tradeoffs via Data Summarization M. Lucic PhD thesis, ETH Zurich, 2017 [bibtex] [abstract] [pdf]
Near-optimal Adaptive Information Acquisition: Theory and Applications Y. Chen PhD thesis, ETH Zurich, 2017 [bibtex] [abstract] [pdf]
2016
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation I. Bogunovic, J. Scarlett, A. Krause, V. Cevher In Proc. Neural Information Processing Systems (NeurIPS), 2016 [bibtex] [abstract] [pdf] [long]
Safe Learning of Regions of Attraction for Uncertain, Nonlinear Systems with Gaussian Processes F. Berkenkamp, R. Moriconi, A. P. Schoellig, A. Krause In Proc. of the IEEE Conference on Decision and Control (CDC), 2016 [bibtex] [abstract] [pdf] [talk] [code]
Fast Distributed Submodular Cover: Public-Private Data Summarization B. Mirzasoleiman, M. Zadimoghaddam, A. Karbasi In Proc. Neural Information Processing Systems (NeurIPS), 2016 [bibtex] [abstract] [pdf] [long]
Variational Inference in Mixed Probabilistic Submodular Models J. Djolonga, S. Tschiatschek, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2016 [bibtex] [abstract] [pdf] [video]
Cooperative Graphical Models J. Djolonga, S. Jegelka, S. Tschiatschek, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2016 [bibtex] [abstract] [pdf] [video]
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes M. Turchetta, F. Berkenkamp, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2016 [bibtex] [abstract] [pdf] [code] [video]
k*-Nearest Neighbors: From Global to Local O. Anava, K. Y. Levy In Proc. Neural Information Processing Systems (NeurIPS), 2016 [bibtex] [abstract] [pdf] [video]
Fast and Provably Good Seedings for k-Means O. Bachem, M. Lucic, S. H. Hassani, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2016 Oral presentation [bibtex] [abstract] [pdf] [code] [video]
Evaluating Task-Dependent Taxonomies for Navigation Y. Sun, A. Singla, T. Yan, A. Krause, D. Fox In AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2016 [bibtex] [abstract] [pdf]
Learning and Feature Selection under Budget Constraints in Crowdsourcing B. Nushi, A. Singla, A. Krause, D. Kossmann In AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2016 [bibtex] [abstract] [pdf]
Better safe than sorry: Risky function exploitation through safe optimization E. Schulz, Q. J. M. Huys, D. R. Bach, M. Speekenbrink, A. Krause In Proc. 38th Annual Meeting of the Cognitive Science Society (CogSci), 2016 [bibtex] [abstract] [pdf]
ε-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem M. Zuluaga, A. Krause, M. Püschel In Journal of Machine Learning Research (JMLR; accepted for publication), volume 17, 2016 [bibtex] [abstract] [pdf]
Linear-Time Outlier Detection via Sensitivity M. Lucic, O. Bachem, A. Krause In Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2016 [bibtex] [abstract] [pdf]
Horizontally Scalable Submodular Maximization M. Lucic, O. Bachem, M. Zadimoghaddam, A. Krause In Proc. International Conference on Machine Learning (ICML), 2016 [bibtex] [abstract] [pdf] [long] [video]
Fast Constrained Submodular Maximization: Personalized Data Summarization B. Mirzasoleiman, A. Badanidiyuru, A. Karbasi In Proc. International Conference on Machine Learning (ICML), 2016 [bibtex] [abstract] [pdf] [long]
Actively Learning Hemimetrics with Applications to Eliciting User Preferences A. Singla, S. Tschiatschek, A. Krause In Proc. International Conference on Machine Learning (ICML), 2016 [bibtex] [abstract] [pdf] [long]
Bayesian Optimization for Maximum Power Point Tracking in Photovoltaic Power Plants H. Abdelrahman, F. Berkenkamp, J. Poland, A. Krause In Proc. European Control Conference (ECC), 2016 Best Application Paper Award [bibtex] [abstract] [pdf]
Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization E. Balkanski, and A. Krause, B. Mirzasoleiman, Y. Singer In Proc. International Conference on Machine Learning (ICML), 2016 [bibtex] [abstract] [pdf] [long]
Learning Sparse Additive Models with Interactions in High Dimensions H. Tyagi, A. Kyrillidis, B. Gärtner, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2016 [bibtex] [abstract] [pdf] [long]
Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation S. Tschiatschek, J. Djolonga, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2016 [bibtex] [abstract] [pdf]
Strong Coresets for Hard and Soft Bregman Clustering with Applications to Exponential Family Mixtures M. Lucic, O. Bachem, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2016 [bibtex] [abstract] [pdf]
Safe Controller Optimization for Quadrotors with Gaussian Processes F. Berkenkamp, A. P. Schoellig, A. Krause In Proc. of the International Conference on Robotics and Automation (ICRA), 2016 [bibtex] [abstract] [pdf] [code] [video]
A Geometric Method to Construct Minimal Peer Prediction Mechanisms R. Frongillo, J. Witkowski In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI’16), 2016 [bibtex] [abstract] [pdf] [long]
Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization A. Singla, S. Tschiatschek, A. Krause In Proc. Conference on Artificial Intelligence (AAAI), 2016 [bibtex] [abstract] [pdf] [long]
Approximate K-Means++ in Sublinear Time O. Bachem, M. Lucic, S. H. Hassani, A. Krause In Proc. Conference on Artificial Intelligence (AAAI), 2016 [bibtex] [abstract] [pdf]
Bounds for Random Constraint Satisfaction Problems via Spatial Coupling D. Achlioptas, S. H. Hassani, N. Macris, R. Urbanke In ACM-SIAM Symposium on Discrete Algorithms (SODA), 2016 [bibtex] [abstract]
Learning Programs from Noisy Data V. Raychev, P. Bielik, M. Vechev, A. Krause In Proc. ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL), 2016 [bibtex] [abstract] [pdf]
Quantifying Location Privacy Leakage from Transaction Prices A. Gervais, H. Ritzdorf, M. Lucic, V. Lenders, S. Capkun In European Symposium on Research in Computer Security, 2016 [bibtex] [abstract]
Distributed Submodular Maximization B. Mirzasoleiman, A. Karbasi, R. Sarkar, A. Krause In Journal of Machine Learning Research (JMLR), 2016 [bibtex] [abstract] [pdf]
Smart broadcasting: Do you want to be seen? M. R. Karimi, E. Tavakoli, M. Farajtabar, L. Song, M. Gomez Rodriguez In Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining, 2016 [bibtex] [abstract]
2015
Sampling from Probabilistic Submodular Models A. Gotovos, S. H. Hassani, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2015 Oral presentation [bibtex] [abstract] [pdf] [long] [talk] [poster] [video]
Higher-Order Inference for Multi-class Log-supermodular Models J. Zhang, J. Djolonga, A. Krause In International Conference on Computer Vision (ICCV), 2015 [bibtex] [abstract] [pdf] [long]
Distributed Submodular Cover: Succinctly Summarizing Massive Data B. Mirzasoleiman, A. Karbasi, A. Badanidiyuru, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2015 Spotlight presentation [bibtex] [abstract] [pdf] [long]
Learning to Hire Teams A. Singla, E. Horvitz, P. Kohli, A. Krause In AAAI Conference on Human Computation and Crowdsourcing (HCOMP), short paper, 2015 [bibtex] [abstract] [pdf] [long]
Crowd Access Path Optimization: Diversity Matters B. Nushi, A. Singla, A. Gruenheid, E. Zamanian, A. Krause, D. Kossmann In AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2015 [bibtex] [abstract] [pdf] [long]
Sequential Information Maximization: When is Greedy Near-optimal? Y. Chen, S. H. Hassani, A. Karbasi, A. Krause In Proc. Conference on Learning Theory (COLT), 2015 [bibtex] [abstract] [pdf]
Coresets for Nonparametric Estimation – the Case of DP-Means O. Bachem, M. Lucic, A. Krause In Proc. International Conference on Machine Learning (ICML), 2015 [bibtex] [abstract] [pdf] [long]
Building Hierarchies of Concepts via Crowdsourcing Y. Sun, A. Singla, D. Fox, A. Krause In International Joint Conference on Artificial Intelligence (IJCAI), 2015 [bibtex] [abstract] [pdf] [long]
Information Gathering in Networks via Active Exploration A. Singla, E. Horvitz, P. Kohli, R. White, A. Krause In International Joint Conference on Artificial Intelligence (IJCAI), 2015 [bibtex] [abstract] [pdf] [long]
Scalable Variational Inference in Log-supermodular Models J. Djolonga, A. Krause In International Conference on Machine Learning (ICML), 2015 [bibtex] [abstract] [pdf] [long]
Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning M. Lucic, M. I. Ohannessian, A. Karbasi, A. Krause In In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2015 Best Student Paper Award [bibtex] [abstract] [pdf] [long]
Incentivizing Users for Balancing Bike Sharing Systems A. Singla, M. Santoni, G. Bartok, P. Mukerji, M. Meenen, A. Krause In Proc. Conference on Artificial Intelligence (AAAI), 2015 Selected for AAAI Open House [bibtex] [abstract] [pdf]
Robot Navigation in Dense Crowds: Statistical Models and Experimental Studies of Human Robot Cooperation P. Trautman, J. Ma, R. Murray, A. Krause In International Journal on Robotics Research (IJRR), 2015 [bibtex] [abstract] [doi]
Predicting Program Properties from Big Code V. Raychev, M. Vechev, A. Krause In In Proc. ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL), 2015 Awarded SIGPLAN Research Highlight [bibtex] [abstract] [pdf]
Lazier than Lazy Greedy B. Mirzasoleiman, A. Badanidiyuru, A. Karbasi, J. Vondrak, A. Krause In Proc. Conference on Artificial Intelligence (AAAI), 2015 [bibtex] [abstract] [pdf]
Submodular Surrogates for Value of Information Y. Chen, S. Javdani, A. Karbasi, J. A. Bagnell, S. Srinivasa, A. Krause In Proc. Conference on Artificial Intelligence (AAAI), 2015 [bibtex] [abstract] [pdf] [long]
Discovering Valuable Items from Massive Data H. Vanchinathan, A. Marfurt, C. A. Robelin, D. Kossmann, A. Krause In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015 [bibtex] [abstract] [pdf] [long]
Safe Exploration for Optimization with Gaussian Processes Y. Sui, A. Gotovos, J. W. Burdick, A. Krause In International Conference on Machine Learning (ICML), 2015 [bibtex] [abstract] [pdf] [long] [talk] [video]
Non-monotone Adaptive Submodular Maximization A. Gotovos, A. Karbasi, A. Krause In International Joint Conference on Artificial Intelligence (IJCAI), 2015 [bibtex] [abstract] [pdf] [long] [talk] [poster]
Alignment of Polarized Sets J. M. Renes, D. Sutter, S. H. Hassani In International Symposium on Information Theory (ISIT), 2015 [bibtex] [abstract] [pdf] [long]
Unified Scaling of Polar Codes: Error Exponent, Scaling Exponent, Moderate Deviations, and Error Floors M. Mondelli, S. H. Hassani, R. Urbanke In International Symposium on Information Theory (ISIT), 2015 Best Student Paper Award [bibtex] [abstract] [pdf] [long]
Learning to Recommend: Interactive Learning with Limited Feedback H. Vanchinathan PhD thesis, ETH Zurich, 2015 [bibtex] [abstract] [pdf]
Kickback cuts Backprop’s red-tape: Biologically plausible credit assignment in neural networks D. Balduzzi, H. Vanchinathan, J. Buhmann In Proc. Conference on Artificial Intelligence (AAAI), 2015 [bibtex] [abstract] [pdf]
Efficient Visual Exploration and Coverage with a Micro Aerial Vehicle in Unknown Environments L. Heng, A. Gotovos, A. Krause, M. Pollefeys In Proc. International Conference on Robotics and Automation (ICRA), 2015 [bibtex] [abstract] [pdf]
Growing a Graph Matching from a Handful of Seeds E. Kazemi, S. H. Hassani, M. Grossglauser In Very Large Data Bases (VLDB), 2015 [bibtex] [abstract] [pdf] [long]
2014
Fast and Robust Least Squares Estimation in Corrupted Linear Models B. McWilliams, G. Krummenacher, M. Lucic, J. Buhmann In Proc. Neural Information Processing Systems (NeurIPS), 2014 Spotlight presentation [bibtex] [abstract] [pdf] [long]
From MAP to Marginals: Variational Inference in Bayesian Submodular Models J. Djolonga, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2014 [bibtex] [abstract] [pdf] [long]
Parallelizing Exploration-Exploitation Tradeoffs in Gaussian Process Bandit Optimization T. Desautels, A. Krause, J. Burdick In Journal of Machine Learning Research (JMLR), volume 15, 2014 [bibtex] [abstract] [pdf]
Mechanism Design for Crowdsourcing Markets with Heterogeneous Tasks G. Goel, A. Nikzad, A. Singla In AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2014 [bibtex] [abstract] [pdf] [long]
Quantifying Web-Search Privacy A. Gervais, R. Shokri, A. Singla, S. Capkun, V. Lenders In Proc. ACM Conference on Computer and Communications Security (CCS), 2014 [bibtex] [abstract] [pdf]
Streaming Submodular Optimization: Massive Data Summarization on the Fly A. Badanidiyuru, B. Mirzasoleiman, A. Karbasi, A. Krause In Proc. ACM Conference on Knowledge Discovery in Databases (KDD), 2014 [bibtex] [abstract] [pdf]
Stochastic Privacy A. Singla, E. Horvitz, E. Kamar, R. W. White In Proc. Conference on Artificial Intelligence (AAAI), 2014 [bibtex] [abstract] [pdf] [long]
Enhancing Personalization via Search Activity Attribution A. Singla, R. W. White, A. Hassan, E. Horvitz In Proc. Special Interest Group On Information Retrieval (SIGIR), 2014 [bibtex] [abstract] [pdf]
Community Sense and Response Systems: Your Phone as Quake Detector M. Faulkner, R. Clayton, T. Heaton, K. M. Chandy, M. Kohler, J. Bunn, R. Guy, A. Liu, M. Olson, M. Cheng, A. Krause In Communications of the ACM, volume 57, 2014 Cover Feature [bibtex] [abstract] [doi]
Sequential Decision Making in Computational Sustainability Through Adaptive Submodularity A. Krause, D. Golovin, S. Converse In AI Magazine, 2014 [bibtex] [abstract] [pdf]
Near-Optimally Teaching the Crowd to Classify A. Singla, I. Bogunovic, G. Bartók, A. Karbasi, A. Krause In Proc. International Conference on Machine Learning (ICML), 2014 [bibtex] [abstract] [pdf] [long]
Active Detection via Adaptive Submodularity Y. Chen, H. Shioi, C. F. Montesinos, L. P. Koh, S. Wich, A. Krause In Proc. International Conference on Machine Learning (ICML), 2014 [bibtex] [abstract] [pdf] [long] [talk]
Community sense and response systems M. Faulkner PhD thesis, California Institute of Technology, 2014 [bibtex] [abstract] [pdf]
From Devices to People: Attribution of Search Activity in Multi-User Settings R. W. White, A. Hassan, A. Singla, E. Horvitz In Proc. International World Wide Web Conference (WWW), 2014 [bibtex] [abstract] [pdf]
Allocating Tasks to Workers with Matching Constraints: Truthful Mechanisms for Crowdsourcing Markets G. Goel, A. Nikzad, A. Singla In Proc. International World Wide Web Conference (WWW), 2014 [bibtex] [abstract] [pdf]
Near-Optimal Bayesian Active Learning for Decision Making S. Javdani, Y. Chen, A. Karbasi, A. Krause, J. A. Bagnell, S. Srinivasa In In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2014 [bibtex] [abstract] [pdf] [long]
Submodular Function Maximization A. Krause, D. Golovin Chapter in Tractability: Practical Approaches to Hard Problems, Cambridge University Press, 2014 (The draft is for personal use only. No further distribution without permission) [bibtex] [abstract] [pdf]
Fully Autonomous Focused Exploration for Robotic Environmental Monitoring G. Hitz, A. Gotovos, F. Pomerleau, M. E. Garneau, C. Pradalier, A. Krause, R. Siegwart In In Proc. International Conference on Robotics and Automation (ICRA), 2014 [bibtex] [abstract] [pdf]
Noise Facilitation in Associative Memories of Exponential Capacity A. Karbasi, A. Salavati, A. Shokrollahi, L. Varshney In Neural Computation, 2014 [bibtex] [abstract] [pdf]
Online Submodular Maximization under a Matroid Constraint with Application to Learning Assignments D. Golovin, A. Krause, M. Streeter Technical report, arXiv, 2014 [bibtex] [abstract] [pdf]
Explore-Exploit in Top-N Recommender Systems via Gaussian Processes H. Vanchinathan, I. Nikolic, F. D. Bona, A. Krause In Proc. ACM Recommender Systems Conference (RecSys), 2014 [bibtex] [abstract] [pdf]
Efficient Partial Monitoring with Prior Information H. Vanchinathan, G. Bartók, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2014 [bibtex] [abstract] [pdf] [long]
Efficient Sampling for Learning Sparse Additive Models in High Dimensions H. Tyagi, A. Krause, B. Gärtner In Proc. Neural Information Processing Systems (NeurIPS), 2014 [bibtex] [abstract] [pdf] [long]
2013
High Dimensional Gaussian Process Bandits J. Djolonga, A. Krause, V. Cevher In Proc. Neural Information Processing Systems (NeurIPS), 2013 [bibtex] [abstract] [pdf] [long]
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data B. Mirzasoleiman, A. Karbasi, R. Sarkar, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2013 [bibtex] [abstract] [pdf] [long]
Incentives for Privacy Tradeoff in Community Sensing A. Singla, A. Krause In AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2013 [bibtex] [abstract] [pdf] [long]
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization Y. Chen, A. Krause In International Conference on Machine Learning (ICML), 2013 [bibtex] [abstract] [pdf] [long]
Truthful Incentives in Crowdsourcing Tasks using Regret Minimization Mechanisms A. Singla, A. Krause In International World Wide Web Conference (WWW), 2013 [bibtex] [abstract] [pdf]
Navigating the Protein Fitness Landscape with Gaussian Processes P. A. Romero, A. Krause, F. H. Arnold In Proceedings of the National Academy of Sciences (PNAS), volume 110, 2013 published online before print on Dec. 31, 2012 [bibtex] [abstract] [doi]
A Fresh Perspective: Learning to Sparsify for Detection in Massive Noisy Sensor Networks M. Faulkner, A. Liu, A. Krause In ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2013 Best Paper Award [bibtex] [abstract] [pdf] [talk]
An Efficient Algorithm for Learning with Semi-Bandit Feedback G. Neu, G. Bartók In International Conference on Algorithmic Learning Theory (ALT), 2013 [bibtex] [abstract] [pdf]
Active Learning for Multi-Criterion Optimization M. Zuluaga, A. Krause, G. Sergent, M. Püschel In International Conference on Machine Learning (ICML), 2013 [bibtex] [abstract] [pdf] [long] [code]
Active Learning for Level Set Estimation A. Gotovos, N. Casati, G. Hitz, A. Krause In International Joint Conference on Artificial Intelligence (IJCAI), 2013 [bibtex] [abstract] [pdf] [long] [talk] [poster]
Convex Analysis for Minimizing and Learning Submodular Set Functions P. Stobbe PhD thesis, California Institute of Technology, 2013 [bibtex] [abstract] [pdf]
Optimizing Waypoints for Monitoring Spatiotemporal Phenomena J. Binney, A. Krause, G. S. Sukhatme In International Journal on Robotics Research (IJRR), volume 32, 2013 [bibtex] [abstract] [doi]
A Near-optimal Algorithm for Finite Partial-Monitoring Games against Adversarial Opponents G. Bartók In Proc. Conference on Learning Theory (COLT), 2013 [bibtex] [abstract] [pdf]
Robot Navigation in Dense Human Crowds: the Case for Cooperation P. Trautman, J. Ma, R. Murray, A. Krause In Proc. International Conference on Robotics and Automation (ICRA), 2013 Best Paper Award Finalist [bibtex] [abstract] [pdf]
Noise-Enhanced Associative Memories A. Karbasi, A. H. Salavati, A. Shokrollahi, L. R. Varshney In Proc. Neural Information Processing Systems (NeurIPS), 2013 IEEE Data Storage Best Student Paper Award [bibtex] [abstract] [pdf]
Online Learning with Costly Features and Labels N. Zolghadr, G. Bartók, R. Greiner, A. György, C. Szepesvári In Proc. Neural Information Processing Systems (NeurIPS), 2013 [bibtex] [abstract] [pdf]
Robust Landmark Selection for Mobile Robot Navigation. M. Beinhofer, J. Müller, A. Krause, W. Burgard In Proc. of the IEEE Int. Conf. on Intelligent Robots and Systems (IROS), 2013 [bibtex] [abstract] [pdf]
2012
Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting N. Srinivas, A. Krause, S. Kakade, M. Seeger In IEEE Transactions on Information Theory, volume 58, 2012 [bibtex] [abstract] [long] [doi]
Combinatorial Problems with Submodular Coupling in Machine Learning and Computer Vision S. Jegelka PhD thesis, ETH Zurich, 2012 [bibtex] [abstract] [pdf]
Inferring Networks of Diffusion and Influence M. G. Rodriguez, J. Leskovec, A. Krause In ACM Transactions on Knowledge Discovery from Data, volume 5, 2012 [bibtex] [abstract] [pdf] [code] [doi]
Robot Navigation in Dense Crowds: Statistical Models and Experimental Studies of Human Robot Cooperation P. Trautman PhD thesis, California Institute of Technology, 2012 [bibtex] [abstract] [pdf]
SCHEMA Designed Variants of Human Arginase I & II Reveal Sequence Elements Important to Stability and Catalysis’ P. A. Romero, E. Stone, C. Lamb, L. Chantranupong, A. Krause, A. Miklos, R. A. Hughes, B. Fechtel, A. D. Ellington, F. H. Arnold, G. Georgiou In ACS Synthetic Biology, 2012 [bibtex] [abstract] [doi]
Learning Fourier Sparse Set Functions P. Stobbe, A. Krause In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2012 [bibtex] [abstract] [pdf]
Joint Optimization and Variable Selection of High-dimensional Gaussian Processes B. Chen, R. Castro, A. Krause In Proc. International Conference on Machine Learning (ICML), 2012 [bibtex] [abstract] [pdf] [long] [code]
Parallelizing Exploration-Exploitation Tradeoffs with Gaussian Process Bandit Optimization T. Desautels, A. Krause, J. Burdick In Proc. International Conference on Machine Learning (ICML), 2012 [bibtex] [abstract] [pdf] [long] [code]
”Smart” Design Space Sampling to Predict Pareto-Optimal Solutions M. Zuluaga, A. Krause, P. A. Milder, M. Püschel In Proc. Languages, Compilers, Tools and Theory for Embedded Systems (LCTES), 2012 Best Paper Award Nominee [bibtex] [abstract] [doi]
2011
Simultaneous Optimization of Sensor Placements and Balanced Schedules A. Krause, R. Rajagopal, A. Gupta, C. Guestrin In IEEE Transactions on Automatic Control, volume 56, 2011 [bibtex] [abstract] [doi]
Greedy Dictionary Selection for Sparse Representation V. Cevher, A. Krause In IEEE Journal of Selected Topics in Signal Processing, volume 99, 2011 [bibtex] [abstract] [doi]
Submodularity and its Applications in Optimized Information Gathering A. Krause, C. Guestrin In ACM Transactions on Intelligent Systems and Technology, volume 2, 2011 [bibtex] [abstract] [pdf]
Robust Sensor Placements at Informative and Communication-Efficient Locations A. Krause, C. Guestrin, A. Gupta, J. Kleinberg In ACM Transactions on Sensor Networks (TOSN), volume 7, 2011 [bibtex] [abstract] [long] [code] [doi]
Dynamic Resource Allocation in Conservation Planning D. Golovin, A. Krause, B. Gardner, S. Converse, S. Morey In Conference on Artificial Intelligence (AAAI), 2011 Winner of the Outstanding Paper Award [bibtex] [abstract] [pdf] [talk]
Adaptive Submodular Optimization under Matroid Constraints D. Golovin, A. Krause Technical report, arXiv, 2011 [bibtex] [abstract] [pdf]
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization D. Golovin, A. Krause In Journal of Artificial Intelligence Research (JAIR), volume 42, 2011 IJCAI-JAIR Best Paper Award 2013 [bibtex] [abstract] [pdf]
Community Seismic Network R. Clayton, T. Heaton, M. Chandy, A. Krause, M. Kohler, J. Bunn, M. Olson, M. Faulkner, M. Cheng, L. Strand, R. Chandy, D. Obenshain, A. Liu, M. Aivazis, R. Guy In Annals of Geophysics, volume 54, 2011 [bibtex] [abstract] [pdf]
The Next Big One: Detecting Earthquakes and other Rare Events from Community-based Sensors M. Faulkner, M. Olson, R. Chandy, J. Krause, K. M. Chandy, A. Krause In Proc. ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2011 [bibtex] [abstract] [pdf] [talk]
Randomized Sensing in Adversarial Environments A. Krause, A. Roper, D. Golovin In Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2011 [bibtex] [abstract] [pdf] [talk]
Contextual Gaussian Process Bandit Optimization A. Krause, C. S. Ong In Proc. Neural Information Processing Systems (NeurIPS), 2011 [bibtex] [abstract] [pdf] [long] [poster]
Crowdclustering R. Gomes, P. Welinder, A. Krause, P. Perona In Proc. Neural Information Processing Systems (NeurIPS), 2011 [bibtex] [abstract] [pdf] [long]
Scalable Training of Mixture Models via Coresets D. Feldman, M. Faulkner, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2011 Oral presentation [bibtex] [abstract] [pdf] [long] [talk]
2010
Near-Optimal Bayesian Active Learning with Noisy Observations D. Golovin, A. Krause, D. Ray In Proc. Neural Information Processing Systems (NeurIPS), 2010 [bibtex] [abstract] [pdf] [long] [poster]
A Utility-Theoretic Approach to Privacy in Online Services A. Krause, E. Horvitz In Journal of Artificial Intelligence Research (JAIR), volume 39, 2010 [bibtex] [abstract] [pdf] [talk]
Unfreezing the Robot: Navigation in Dense, Interacting Crowds P. Trautman, A. Krause In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2010 [bibtex] [abstract] [pdf] [talk]
SFO: A Toolbox for Submodular Function Optimization A. Krause In Journal of Machine Learning Research (JMLR), volume 11, 2010 [bibtex] [abstract] [pdf] [code]
Inferring Networks of Diffusion and Influence M. G. Rodriguez, J. Leskovec, A. Krause In Proc. ACM Conference on Knowledge Discovery in Databases (KDD), 2010 Best Research Paper Award Honorable Mention [bibtex] [abstract] [pdf] [talk] [code]
Online Distributed Sensor Selection D. Golovin, M. Faulkner, A. Krause In Proc. ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2010 [bibtex] [abstract] [pdf] [long] [talk]
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization D. Golovin, A. Krause In Proc. Conference on Learning Theory (COLT), 2010 [bibtex] [abstract] [pdf] [talk]
Budgeted Nonparametric Learning from Data Streams R. Gomes, A. Krause In Proc. International Conference on Machine Learning (ICML), 2010 [bibtex] [abstract] [pdf] [long] [talk]
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design N. Srinivas, A. Krause, S. Kakade, M. Seeger In Proc. International Conference on Machine Learning (ICML), 2010 [bibtex] [abstract] [pdf] [long] [talk]
Submodular Dictionary Selection for Sparse Representation A. Krause, V. Cevher In Proc. International Conference on Machine Learning (ICML), 2010 [bibtex] [abstract] [pdf] [poster]
Informative path planning for an autonomous underwater vehicle J. Binney, A. Krause, G. S. Sukhatme In Proc. International Conference on Robotics and Automation (ICRA), 2010 [bibtex] [abstract]
Discriminative Clustering by Regularized Information Maximization R. Gomes, A. Krause, P. Perona In Proc. Neural Information Processing Systems (NeurIPS), 2010 [bibtex] [abstract] [pdf] [talk] [poster]
Efficient Minimization of Decomposable Submodular Functions P. Stobbe, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2010 [bibtex] [abstract] [pdf] [talk] [poster]
2009
Optimizing Sensing from Water to the Web A. Krause, C. Guestrin In IEEE Computer Magazine, 2009 (Cover Feature) [bibtex] [abstract] [doi]
Efficient Informative Sensing using Multiple Robots A. Singh, A. Krause, C. Guestrin, W. Kaiser In Journal of Artificial Intelligence Research (JAIR), volume 34, 2009 [bibtex] [abstract] [pdf]
Optimal Value of Information in Graphical Models A. Krause, C. Guestrin In Journal of Artificial Intelligence Research (JAIR), volume 35, 2009 IJCAI-JAIR Best Paper Award Honorable Mention 2012 [bibtex] [abstract] [pdf]
Simultaneous Placement and Scheduling of Sensors A. Krause, R. Rajagopal, A. Gupta, C. Guestrin In Proc. ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2009 [bibtex] [abstract] [pdf] [talk]
Nonmyopic Adaptive Informative Path Planning for Multiple Robots A. Singh, A. Krause, W. Kaiser In Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2009 [bibtex] [abstract] [pdf] [talk]
Online Learning of Assignments M. Streeter, D. Golovin, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2009 [bibtex] [abstract] [pdf] [poster]
2008
Robust Submodular Observation Selection A. Krause, B. McMahan, C. Guestrin, A. Gupta In Journal of Machine Learning Research (JMLR), volume 9, 2008 [bibtex] [abstract] [pdf] [long]
Optimizing Sensing: Theory and Applications A. Krause PhD thesis, Carnegie Mellon University, 2008 Honorable Mention for SCS Distinguished Dissertation Award [bibtex] [abstract] [pdf] [talk]
Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks A. Krause, J. Leskovec, C. Guestrin, J. VanBriesen, C. Faloutsos In Journal of Water Resources Planning and Management, volume 134, 2008 Winner of the Best Research Paper Award (Draft; full version available here) [bibtex] [abstract] [pdf]
Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies A. Krause, A. Singh, C. Guestrin In Journal of Machine Learning Research (JMLR), volume 9, 2008 [bibtex] [abstract] [pdf] [long]
The Battle of Water Sensor Networks (BWSN): A Design Challenge for Engineers and Algorithms A. O. et al. In Journal of Water Resources Planning and Management, volume 134, 2008 (Joint publication by all participants of the BWSN challenge) [bibtex] [abstract] [doi]
A Utility-Theoretic Approach to Privacy and Personalization A. Krause, E. Horvitz In Proc. 23rd Conference on Artificial Intelligence (AAAI), 2008 [bibtex] [abstract] [pdf] [talk]
Toward Community Sensing A. Krause, E. Horvitz, A. Kansal, F. Zhao In Proc. ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2008 [bibtex] [abstract] [pdf] [talk]
2007
Selecting Observations Against Adversarial Objectives A. Krause, B. McMahan, C. Guestrin, A. Gupta In Proc. Neural Information Processing Systems (NeurIPS), 2007 [bibtex] [abstract] [pdf] [long] [poster]
Robust, Low-cost, Non-intrusive Sensing and Recognition of Seated Postures B. Mutlu, A. Krause, J. Forlizzi, C. Guestrin, J. Hodgins In ACM Symposium on User Interface Software and Technology (UIST), 2007 [bibtex] [abstract] [pdf] [talk]
Cost-effective Outbreak Detection in Networks J. Leskovec, A. Krause, C. Guestrin, C. Faloutsos, J. VanBriesen, N. Glance In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2007 Winner of the Best Paper Award [bibtex] [abstract] [pdf] [long] [talk]
Near-optimal Observation Selection using Submodular Functions A. Krause, C. Guestrin In National Conference on Artificial Intelligence (AAAI), Nectar track, 2007 [bibtex] [abstract] [pdf] [talk]
Nonmyopic Informative Path Planning in Spatio-Temporal Models A. Meliou, A. Krause, C. Guestrin, J. M. Hellerstein In Conference on Artificial Intelligence (AAAI), 2007 [bibtex] [abstract] [pdf] [talk]
Nonmyopic active learning of Gaussian processes: an exploration-exploitation approach A. Krause, C. Guestrin In International Conference on Machine Learning (ICML), 2007 [bibtex] [abstract] [pdf] [long] [talk] [poster]
Efficient Planning of Informative Paths for Multiple Robots A. Singh, A. Krause, C. Guestrin, W. Kaiser, M. Batalin In Proc. International Joint Conference on Artificial Intelligence (IJCAI), 2007 [bibtex] [abstract] [pdf] [long] [talk]
2006
Data Association for Topic Intensity Tracking A. Krause, J. Leskovec, C. Guestrin In International conference on Machine learning (ICML), 2006 [bibtex] [abstract] [pdf] [long] [talk]
Context-Aware Mobile Computing: Learning Context-Dependent Personal Preferences from a Wearable Sensor Array A. Krause, A. Smailagic, D. Siewiorek In IEEE Transactions on Mobile Computing, volume 5, 2006 Winner of the NRW Undergraduate Science Award [bibtex] [abstract] [doi]
Near-optimal Sensor Placements: Maximizing Information while Minimizing Communication Cost A. Krause, C. Guestrin, A. Gupta, J. Kleinberg In Proc. of Information Processing in Sensor Networks (IPSN), 2006 Winner of the Best Paper Award [bibtex] [abstract] [pdf] [long] [talk]
2005
Intelligent Light Control using Sensor Networks V. Singhvi, A. Krause, C. Guestrin, J. Garrett, H. S. Matthews In ACM Conference on Embedded Networked Sensor Systems (SenSys), 2005 [bibtex] [abstract] [pdf] [talk]
Trading off Prediction Accuracy and Power Consumption for Context-Aware Wearable Computing A. Krause, M. Ihmig, E. Rankin, D. Leong, S. Gupta, D. Siewiorek, A. Smailagic, M. Deisher, U. Sengupta In Proc. 9th International Symposium on Wearable Computers (ISWC), 2005 [bibtex] [abstract] [pdf]
Near-optimal Sensor Placements in Gaussian Processes C. Guestrin, A. Krause, A. Singh In International Conference on Machine Learning (ICML), 2005 Winner of the Best Paper Runner-Up Award [bibtex] [abstract] [pdf] [long] [talk] [poster]
Near-optimal Nonmyopic Value of Information in Graphical Models A. Krause, C. Guestrin In Conference on Uncertainty in Artificial Intelligence (UAI), 2005 Winner of the Best Paper Runner-Up Award [bibtex] [abstract] [pdf] [talk]
Optimal Nonmyopic Value of Information in Graphical Models – Efficient Algorithms and Theoretical Limits A. Krause, C. Guestrin In International Joint Conference on Artificial Intelligence (IJCAI), 2005 [bibtex] [abstract] [pdf] [talk]
A Note on the Budgeted Maximization on Submodular Functions A. Krause, C. Guestrin Technical report CMU-CALD-05-103, Carnegie Mellon University, 2005 [bibtex] [abstract] [pdf]
Multimodal Projection Pursuit using the Dip Statistic A. Krause, V. Liebscher Technical report 13, Universität Greifswald, 2005 [bibtex] [abstract] [pdf]
2004
Development and implementation of a parallel algorithm for the fast design of oligonucleotide probe sets for diagnostic DNA microarrays H. Meier, A. Krause, M. Kräutner In Concurrency and Computation: Practice and Experience, volume 16, 2004 [bibtex] [abstract] [doi]
Mobile decision support for transplantation patient data A. Krause, D. Hartl, F. Theis, M. Stangl, K. Gerauer, A. Mehlhorn In International Journal of Medical Informatics, volume 73, 2004 [bibtex] [abstract] [doi]
2003
Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing A. Krause, D. Siewiorek, A. Smailagic, J. Farringdon In In. Proc. 7th International Symposium on Wearable Computers (ISWC), 2003 [bibtex] [abstract] [pdf]
Accurate method for fast design of diagnostic oligonucleotide probe sets for DNA microarrays A. Krause, M. Kräutner, H. Meier In Proc. 17th International Parallel & Distributed Processing Symposium (IPDPS2003), Workshop on High Performance Computational Biology, 2003 [bibtex] [abstract] [pdf]
SenSay: A Context- Aware Mobile Phone D. Siewiorek, A. Smailagic, J. Furukawa, A. Krause, N. Moraveji, K. Reiger, J. Shaffer, F. L. Wong In Proc. 7th International Symposium on Wearable Computers (ISWC), 2003 [bibtex] [abstract] [pdf]

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