| 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 | 152 | 2014 |
| Adversarially robust optimization with Gaussian processes I Bogunovic, J Scarlett, S Jegelka, V Cevher Advances in neural information processing systems 31, 2018 | 145 | 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 | 127 | 2018 |
| Time-Varying Gaussian Process Bandit Optimization I Bogunovic, J Scarlett, V Cevher International Conference on Artificial Intelligence and Statistics (AISTATS …, 2016 | 106 | 2016 |
| 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 | 99 | 2016 |
| Lower bounds on regret for noisy gaussian process bandit optimization J Scarlett, I Bogunovic, V Cevher Conference on Learning Theory, 1723-1742, 2017 | 96 | 2017 |
| Distributionally robust Bayesian optimization J Kirschner, I Bogunovic, S Jegelka, A Krause International Conference on Artificial Intelligence and Statistics, 2174-2184, 2020 | 93 | 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 | 89 | 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 | 76 | 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 | 71 | 2017 |
| Corruption-tolerant gaussian process bandit optimization I Bogunovic, A Krause, J Scarlett International Conference on Artificial Intelligence and Statistics, 1071-1081, 2020 | 59 | 2020 |
| 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 | 59 | 2017 |
| Robust maximization of non-submodular objectives I Bogunovic, J Zhao, V Cevher International Conference on Artificial Intelligence and Statistics, 890-899, 2018 | 53 | 2018 |
| Misspecified gaussian process bandit optimization I Bogunovic, A Krause Advances in neural information processing systems 34, 3004-3015, 2021 | 47 | 2021 |
| DP-Sniper: Black-Box Discovery of Differential Privacy Violations using Classifiers B Bichsel, S Steffen, I Bogunovic, M Vechev | 45 | 2021 |
| 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 | 44 | 2019 |
| Risk-averse heteroscedastic bayesian optimization A Makarova, I Usmanova, I Bogunovic, A Krause Advances in Neural Information Processing Systems 34, 17235-17245, 2021 | 43 | 2021 |
| Efficient model-based multi-agent mean-field reinforcement learning B Pasztor, I Bogunovic, A Krause arXiv preprint arXiv:2107.04050, 2021 | 40 | 2021 |
| On actively teaching the crowd to classify A Singla, I Bogunovic, G Bartók, A Karbasi, A Krause NIPS Workshop on Data Driven Education, 2013 | 30 | 2013 |
| An efficient streaming algorithm for the submodular cover problem A Norouzi-Fard, A Bazzi, I Bogunovic, M El Halabi, YP Hsieh, V Cevher Advances in Neural Information Processing Systems 29, 2016 | 25 | 2016 |
Andreas KrauseProfessor of Computer Science, ETH ZurichVerified email at inf.ethz.ch
