Stochastic simultaneous optimistic optimization M Valko, A Carpentier, R Munos International Conference on Machine Learning, 19-27, 2013 | 81 | 2013 |

Bandit theory meets compressed sensing for high dimensional stochastic linear bandit A Carpentier, R Munos Artificial Intelligence and Statistics, 190-198, 2012 | 70 | 2012 |

An optimal algorithm for the thresholding bandit problem A Locatelli, M Gutzeit, A Carpentier arXiv preprint arXiv:1605.08671, 2016 | 68 | 2016 |

Upper-confidence-bound algorithms for active learning in multi-armed bandits A Carpentier, A Lazaric, M Ghavamzadeh, R Munos, P Auer International Conference on Algorithmic Learning Theory, 189-203, 2011 | 55 | 2011 |

Tight (lower) bounds for the fixed budget best arm identification bandit problem A Carpentier, A Locatelli Conference on Learning Theory, 590-604, 2016 | 46 | 2016 |

Simple regret for infinitely many armed bandits A Carpentier, M Valko International Conference on Machine Learning, 1133-1141, 2015 | 46 | 2015 |

Revealing graph bandits for maximizing local influence A Carpentier, M Valko | 30 | 2016 |

Extreme bandits A Carpentier, M Valko Advances in Neural Information Processing Systems, 1089-1097, 2014 | 29 | 2014 |

Finite time analysis of stratified sampling for Monte Carlo A Carpentier, R Munos Advances in Neural Information Processing Systems, 1278-1286, 2011 | 29 | 2011 |

Hybrid collaborative filtering with autoencoders F Strub, J Mary, R Gaudel arXiv preprint arXiv:1603.00806, 2016 | 25 | 2016 |

Uncertainty quantification for matrix compressed sensing and quantum tomography problems A Carpentier, J Eisert, D Gross, R Nickl High Dimensional Probability VIII, 385-430, 2019 | 23 | 2019 |

Adaptivity to Smoothness in X-armed bandits A Locatelli, A Carpentier Conference on Learning Theory, 1463-1492, 2018 | 23 | 2018 |

Two-sample tests for large random graphs using network statistics D Ghoshdastidar, M Gutzeit, A Carpentier, U von Luxburg arXiv preprint arXiv:1705.06168, 2017 | 20 | 2017 |

Adaptive confidence sets for matrix completion A Carpentier, O Klopp, M Löffler, R Nickl Bernoulli 24 (4A), 2429-2460, 2018 | 19 | 2018 |

Automatic motor task selection via a bandit algorithm for a brain-controlled button J Fruitet, A Carpentier, R Munos, M Clerc Journal of neural engineering 10 (1), 016012, 2013 | 19 | 2013 |

Honest and adaptive confidence sets in A Carpentier Electronic Journal of Statistics 7, 2875-2923, 2013 | 17 | 2013 |

Adaptive estimation of the sparsity in the Gaussian vector model A Carpentier, N Verzelen The Annals of Statistics 47 (1), 93-126, 2019 | 16 | 2019 |

Adaptive and minimax optimal estimation of the tail coefficient A Carpentier, AKH Kim Statistica Sinica, 1133-1144, 2015 | 14 | 2015 |

On signal detection and confidence sets for low rank inference problems A Carpentier, R Nickl Electronic Journal of Statistics 9 (2), 2675-2688, 2015 | 14 | 2015 |

Two-sample hypothesis testing for inhomogeneous random graphs D Ghoshdastidar, M Gutzeit, A Carpentier, U von Luxburg Annals of Statistics 48 (4), 2208-2229, 2020 | 13 | 2020 |