Ilija Bogunovic

• Postdoctoral Fellow
• External Website
• ilijab@ethz.ch
• CAB G 68
• +41 44 632 64 96
• My research focus is on machine learning algorithms that are theoretically well-founded, robust and practically applicable. I am particularly interested in problems in sequential decision making and topics such as bandits, Bayesian optimization, experimental design, and reinforcement learning.

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Publications

2023

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]

2022

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]

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]

Graph Neural Network Bandits P. Kassraie, A. Krause, I. Bogunovic In Proc. Neural Information Processing Systems (NeurIPS), 2022 [bibtex] [abstract] [pdf]

2021

Misspecified Gaussian Process Bandit Optimization I. Bogunovic, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2021 [bibtex] [abstract] [pdf]

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]

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]

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]

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]

2020

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]

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]

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]

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]

2019

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]

Overlapping Multi-Bandit Best Arm Identification J. Scarlett, I. Bogunovic, V. Cevher In The 2019 IEEE International Symposium on Information Theory (ISIT), 2019 [bibtex] [abstract] [pdf]

2018

Adversarially Robust Optimization with Gaussian Processes I. Bogunovic, J. Scarlett, S. Jegelka, V. Cevher In Conference on Neural Information Processing Systems (NeurIPS), 2018 [bibtex] [abstract] [pdf]

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups P. Rolland, J. Scarlett, I. Bogunovic, V. Cevher In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018 [bibtex] [abstract] [pdf]

Robust Maximization of Non-Submodular Objectives I. Bogunovic, J. Zhao, V. Cevher In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018 [bibtex] [abstract] [pdf]

2017

Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach S. Mitrovi\’c, I. Bogunovic, A. Norouzi-Fard, J. M. Tarnawski, V. Cevher In Advances in Neural Information Processing Systems (NIPS), 2017 [bibtex] [abstract] [pdf]

A Distributed Algorithm for Partitioned Robust Submodular Maximization I. Bogunovic, S. Mitrovi\’c, J. Scarlett, V. Cevher In Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017 IEEE 7th International Workshop on, 2017 [bibtex] [abstract] [pdf]

Lower Bounds on Regret for Noisy Gaussian Process Bandit Optimization J. Scarlett, I. Bogunovic, V. Cevher In International Conference on Learning Theory (COLT), 2017 [bibtex] [abstract] [pdf]

Robust Submodular Maximization: A Non-Uniform Partitioning Approach I. Bogunovic, S. Mitrovi\’c, J. Scarlett, V. Cevher In International Conference on Machine Learning (ICML), 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]

An efficient streaming algorithm for the submodular cover problem A. Norouzi-Fard, A. Bazzi, I. Bogunovic, M. El Halabi, Y. P. Hsieh, V. Cevher In Advances in Neural Information Processing Systems (NIPS), 2016 [bibtex] [abstract] [pdf]

Time-varying Gaussian process bandit optimization I. Bogunovic, J. Scarlett, V. Cevher In Artificial Intelligence and Statistics (AISTATS), 2016 [bibtex] [abstract] [pdf]

Learning-based compressive subsampling L. Baldassarre, Y. H. Li, J. Scarlett, B. Gözcü, I. Bogunovic, V. Cevher In IEEE Journal of Selected Topics in Signal Processing, IEEE, volume 10, 2016 [bibtex] [abstract] [pdf]

2015

Active learning of self-concordant like multi-index functions I. Bogunovic, V. Cevher, J. Haupt, J. Scarlett In Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, 2015 [bibtex] [abstract] [pdf]

2014

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]