| Adversarially robust optimization with Gaussian processes I Bogunovic, J Scarlett, S Jegelka, V Cevher Advances in neural information processing systems 31, 2018 | 184 | 2018 |
| High-dimensional Bayesian optimization via additive models with overlapping groups P Rolland, J Scarlett, I Bogunovic, V Cevher International conference on artificial intelligence and statistics, 298-307, 2018 | 167 | 2018 |
| Near-optimally teaching the crowd to classify A Singla, I Bogunovic, G Bartók, A Karbasi, A Krause International Conference on Machine Learning, 154-162, 2014 | 160 | 2014 |
| Time-Varying Gaussian Process Bandit Optimization I Bogunovic, J Scarlett, V Cevher International Conference on Artificial Intelligence and Statistics (AISTATS …, 2016 | 144 | 2016 |
| Lower bounds on regret for noisy Gaussian process bandit optimization J Scarlett, I Bogunovic, V Cevher Conference on Learning Theory, 1723-1742, 2017 | 135 | 2017 |
| Distributionally robust Bayesian optimization J Kirschner, I Bogunovic, S Jegelka, A Krause International Conference on Artificial Intelligence and Statistics, 2174-2184, 2020 | 129 | 2020 |
| Truncated variance reduction: A unified approach to bayesian optimization and level-set estimation I Bogunovic, J Scarlett, A Krause, V Cevher Advances in neural information processing systems 29, 2016 | 121 | 2016 |
| Stochastic linear bandits robust to adversarial attacks I Bogunovic, A Losalka, A Krause, J Scarlett International Conference on Artificial Intelligence and Statistics, 991-999, 2021 | 104 | 2021 |
| Learning-based compressive subsampling L Baldassarre, YH Li, J Scarlett, B Gözcü, I Bogunovic, V Cevher IEEE Journal of Selected Topics in Signal Processing 10 (4), 809-822, 2016 | 103 | 2016 |
| Misspecified gaussian process bandit optimization I Bogunovic, A Krause Advances in neural information processing systems 34, 3004-3015, 2021 | 86 | 2021 |
| Robust submodular maximization: A non-uniform partitioning approach I Bogunovic, S Mitrović, J Scarlett, V Cevher International Conference on Machine Learning, 508-516, 2017 | 83 | 2017 |
| Group robust preference optimization in reward-free rlhf SS Ramesh, Y Hu, I Chaimalas, V Mehta, PG Sessa, H Bou Ammar, ... Advances in Neural Information Processing Systems 37, 37100-37137, 2024 | 80 | 2024 |
| Corruption-tolerant gaussian process bandit optimization I Bogunovic, A Krause, J Scarlett International Conference on Artificial Intelligence and Statistics, 1071-1081, 2020 | 72 | 2020 |
| DP-Sniper: Black-Box Discovery of Differential Privacy Violations using Classifiers B Bichsel, S Steffen, I Bogunovic, M Vechev | 69 | 2021 |
| Streaming robust submodular maximization: A partitioned thresholding approach S Mitrovic, I Bogunovic, A Norouzi-Fard, JM Tarnawski, V Cevher Advances in Neural Information Processing Systems 30, 2017 | 68 | 2017 |
| Risk-averse heteroscedastic bayesian optimization A Makarova, I Usmanova, I Bogunovic, A Krause Advances in Neural Information Processing Systems 34, 17235-17245, 2021 | 65 | 2021 |
| Efficient model-based multi-agent mean-field reinforcement learning B Pasztor, I Bogunovic, A Krause arXiv preprint arXiv:2107.04050, 2021 | 63 | 2021 |
| Robust maximization of non-submodular objectives I Bogunovic, J Zhao, V Cevher International Conference on Artificial Intelligence and Statistics, 890-899, 2018 | 59 | 2018 |
| No-regret learning in unknown games with correlated payoffs PG Sessa, I Bogunovic, M Kamgarpour, A Krause Advances in Neural Information Processing Systems 32, 2019 | 53 | 2019 |
| Learning to play sequential games versus unknown opponents PG Sessa, I Bogunovic, M Kamgarpour, A Krause Advances in neural information processing systems 33, 8971-8981, 2020 | 32 | 2020 |
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
