| Best arm identification: A unified approach to fixed budget and fixed confidence V Gabillon, M Ghavamzadeh, A Lazaric NIPS, Neural Information Processing Systems, 2012 | 198 | 2012 |
| Multi-bandit best arm identification V Gabillon, M Ghavamzadeh, A Lazaric, S Bubeck NIPS, Neural Information Processing Systems, 2011 | 92 | 2011 |
| Approximate modified policy iteration and its application to the game of Tetris. B Scherrer, M Ghavamzadeh, V Gabillon, B Lesner, M Geist JMLR, Journal of Machine Learning Research 16, 2015 | 66 | 2015 |
| Approximate dynamic programming finally performs well in the game of Tetris V Gabillon, M Ghavamzadeh, B Scherrer NIPS, Neural Information Processing systems, 2013 | 64 | 2013 |
| Approximate modified policy iteration B Scherrer, V Gabillon, M Ghavamzadeh, M Geist ICML, International Conference on Machine Learning, 2012 | 46 | 2012 |
| Adaptive submodular maximization in bandit setting V Gabillon, B Kveton, Z Wen, B Eriksson, S Muthukrishnan NIPS, Neural Information Processing Systems, 2013 | 42 | 2013 |
| Classification-based policy iteration with a critic V Gabillon, A Lazaric, M Ghavamzadeh, B Scherrer ICML, International Conference on Machine Learning, 2011 | 30 | 2011 |
| Improved learning complexity in combinatorial pure exploration bandits V Gabillon, A Lazaric, M Ghavamzadeh, R Ortner, P Bartlett AISTATS, Artificial Intelligence and Statistics, 2016 | 28 | 2016 |
| A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption PL Bartlett, V Gabillon, M Valko ALT, Algorithmic Learning Theory, 2019 | 13 | 2019 |
| Best of both worlds: Stochastic & adversarial best-arm identification Y Abbasi-Yadkori, P Bartlett, V Gabillon, A Malek, M Valko COLT, Conference on Learning Theory, 2018 | 13 | 2018 |
| Rollout allocation strategies for classification-based policy iteration V Gabillon, A Lazaric, M Ghavamzadeh Workshop on Reinforcement Learning and Search in Very Large Spaces, 2010 | 12 | 2010 |
| Large-Scale Optimistic Adaptive Submodularity. V Gabillon, B Kveton, Z Wen, B Eriksson, S Muthukrishnan AAAI, Association for the Advancement of Artificial Intelligence, 2014 | 11 | 2014 |
| MANAS: Multi-agent neural architecture search FM Carlucci, PM Esperança, M Singh, V Gabillon, A Yang, H Xu, Z Chen, ... arXiv preprint arXiv:1909.01051, 2019 | 9 | 2019 |
| Hit-and-Run for Sampling and Planning in Non-Convex Spaces Y Abbasi-Yadkori, PL Bartlett, V Gabillon, A Malek AISTATS, Artificial Intelligence and Statistics, 2017 | 7 | 2017 |
| Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem Y Abbasi-Yadkori, PL Bartlett, V Gabillon NIPS, Neural Information Processing Systems, 2017 | 7 | 2017 |
| Scale-free adaptive planning for deterministic dynamics & discounted rewards P Bartlett, V Gabillon, J Healey, M Valko ICML, International Conference on Machine Learning, 495-504, 2019 | 3 | 2019 |
| Asymptotic performance analysis of PCA algorithms based on the weighted subspace criterion JP Delmas, V Gabillon ICASSP, Acoustics, Speech and Signal Processing, 2009 | 3 | 2009 |
| Machine learning tools for online advertisement V Gabillon Technical report, INRIA, Lille, France, 2009 | 3 | 2009 |
| Derivative-Free & Order-Robust Optimisation V Gabillon, R Tutunov, M Valko, HB Ammar AISTATS, Artificial Intelligence and Statistics, 2020 | 2 | 2020 |
| Multi-media content-recommender system that learns how to elicit user preferences VF Gabillon, B Kveton, B Eriksson US Patent App. 14/489,703, 2016 | 2 | 2016 |
Mohammad GhavamzadehGoogle ResearchVerified email at google.com
