Publications

2022

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]

Incentive-Compatible Forecasting Competitions J. Witkowski, R. Freeman, J. W. Vaughan, D. Pennock, A. Krause In Management Science, 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]

2021

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]

2019

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]

2018

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]

2016

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]

2015

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]

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]

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]

2013

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]

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]

2012

”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

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 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]

2010

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]

2009

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]

2008

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]

2007

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]

2006

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

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]

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All Large-scale Machine Learning Prob. Modeling and Inference Sequential Decision Making Crowd-powered Systems Active Learning Computational Sustainability Networks Recommender Systems Robotics Sensing Submodularity