| Best arm identification for contaminated bandits J Altschuler, VE Brunel, A Malek Journal of Machine Learning Research 20 (91), 1-39, 2019 | 62 | 2019 |
| Linear programming for large-scale Markov decision problems A Malek, Y Abbasi-Yadkori, P Bartlett International conference on machine learning, 496-504, 2014 | 60 | 2014 |
| Best of both worlds: Stochastic & adversarial best-arm identification Y Abbasi-Yadkori, P Bartlett, V Gabillon, A Malek, M Valko Conference on learning theory, 918-949, 2018 | 56 | 2018 |
| Anytime-valid inference for multinomial count data M Lindon, A Malek Advances in Neural Information Processing Systems 35, 2817-2831, 2022 | 33 | 2022 |
| Minimax fixed-design linear regression PL Bartlett, WM Koolen, A Malek, E Takimoto, MK Warmuth Conference on Learning Theory, 226-239, 2015 | 33 | 2015 |
| Minimax time series prediction WM Koolen, A Malek, PL Bartlett, Y Abbasi Yadkori Advances in Neural Information Processing Systems 28, 2015 | 31 | 2015 |
| Hit-and-run for sampling and planning in non-convex spaces Y Abbasi-Yadkori, P Bartlett, V Gabillon, A Malek Artificial intelligence and statistics, 888-895, 2017 | 26 | 2017 |
| Online isotonic regression W Kotłowski, WM Koolen, A Malek Conference on Learning Theory, 1165-1189, 2016 | 20 | 2016 |
| Sequential multiple hypothesis testing with type I error control A Malek, S Katariya, Y Chow, M Ghavamzadeh Artificial Intelligence and Statistics, 1468-1476, 2017 | 18 | 2017 |
| Efficient minimax strategies for square loss games WM Koolen, A Malek, PL Bartlett Advances in Neural Information Processing Systems 27, 2014 | 17 | 2014 |
| Large-scale Markov decision problems with KL control cost and its application to crowdsourcing Y Abbasi-Yadkori, P Bartlett, X Chen, A Malek International Conference on Machine Learning, 1053-1062, 2015 | 15 | 2015 |
| Large-scale Markov decision problems via the linear programming dual Y Abbasi-Yadkori, PL Bartlett, X Chen, A Malek arXiv preprint arXiv:1901.01992, 2019 | 14 | 2019 |
| Sample size determination in sequential hypothesis testing AJ Malek, Y Chow, M Ghavamzadeh US Patent 10,755,304, 2020 | 11 | 2020 |
| Random permutation online isotonic regression W Kotlowski, WM Koolen, A Malek Advances in Neural Information Processing Systems 30, 2017 | 10 | 2017 |
| Additive causal bandits with unknown graph A Malek, V Aglietti, S Chiappa International Conference on Machine Learning, 23574-23589, 2023 | 9 | 2023 |
| Horizon-independent minimax linear regression A Malek, PL Bartlett Advances in Neural Information Processing Systems 31, 2018 | 9 | 2018 |
| Systems and methods associated with sequential multiple hypothesis testing M Ghavamzadeh, AJ Malek, Y Chow, S Katariya US Patent 10,586,200, 2020 | 8 | 2020 |
| Constrained causal bayesian optimization V Aglietti, A Malek, I Ktena, S Chiappa International Conference on Machine Learning, 304-321, 2023 | 7 | 2023 |
| Testing an Effect of User Interaction with Digital Content in a Digital Medium Environment N Vlassis, M Ghavamzadeh, AJ Malek US Patent App. 15/269,003, 2018 | 6 | 2018 |
| Asymptotically best causal effect identification with multi-armed bandits A Malek, S Chiappa Advances in Neural Information Processing Systems 34, 21960-21971, 2021 | 4 | 2021 |
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyПідтверджена електронна адреса в cs.berkeley.edu
