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Alexandra Carpentier
Alexandra Carpentier
Uni Potsdam
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Cited by
Cited by
Year
An optimal algorithm for the thresholding bandit problem
A Locatelli, M Gutzeit, A Carpentier
International Conference on Machine Learning, 1690-1698, 2016
1572016
Tight (lower) bounds for the fixed budget best arm identification bandit problem
A Carpentier, A Locatelli
Conference on Learning Theory, 590-604, 2016
1472016
Stochastic simultaneous optimistic optimization
M Valko, A Carpentier, R Munos
International Conference on Machine Learning, 19-27, 2013
1412013
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
1272011
Bandit theory meets compressed sensing for high dimensional stochastic linear bandit
A Carpentier, R Munos
Artificial Intelligence and Statistics, 190-198, 2012
1252012
Simple regret for infinitely many armed bandits
A Carpentier, M Valko
International Conference on Machine Learning, 1133-1141, 2015
1022015
Linear bandits with stochastic delayed feedback
C Vernade, A Carpentier, T Lattimore, G Zappella, B Ermis, M Brueckner
International Conference on Machine Learning, 9712-9721, 2020
702020
Adaptivity to smoothness in x-armed bandits
A Locatelli, A Carpentier
Conference on Learning Theory, 1463-1492, 2018
702018
Rotting bandits are no harder than stochastic ones
J Seznec, A Locatelli, A Carpentier, A Lazaric, M Valko
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
612019
Two-sample hypothesis testing for inhomogeneous random graphs
D Ghoshdastidar, M Gutzeit, A Carpentier, U Von Luxburg
The Annals of Statistics 48 (4), 2208-2229, 2020
582020
Extreme bandits
A Carpentier, M Valko
Advances in Neural Information Processing Systems 27, 2014
572014
Increased expression of regulatory Tr1 cells in recurrent hepatitis C after liver transplantation
A Carpentier, F Conti, F Stenard, L Aoudjehane, C Miroux, P Podevin, ...
American Journal of Transplantation 9 (9), 2102-2112, 2009
532009
Two-sample tests for large random graphs using network statistics
D Ghoshdastidar, M Gutzeit, A Carpentier, U von Luxburg
Conference on Learning Theory, 954-977, 2017
522017
Stochastic bandits with arm-dependent delays
MA Gael, C Vernade, A Carpentier, M Valko
International Conference on Machine Learning, 3348-3356, 2020
492020
Revealing graph bandits for maximizing local influence
A Carpentier, M Valko
Artificial Intelligence and Statistics, 10-18, 2016
492016
Finite time analysis of stratified sampling for monte carlo
A Carpentier, R Munos
Advances in Neural Information Processing Systems 24, 2011
382011
Adaptive estimation of the sparsity in the Gaussian vector model
A Carpentier, N Verzelen
The Annals of Statistics 47 (1), 93-126, 2019
352019
Uncertainty quantification for matrix compressed sensing and quantum tomography problems
A Carpentier, J Eisert, D Gross, R Nickl
High Dimensional Probability VIII: The Oaxaca Volume, 385-430, 2019
342019
Adaptive confidence sets for matrix completion
A Carpentier, O Klopp, M Löffler, R Nickl
342018
Adaptivity to noise parameters in nonparametric active learning
A Locatelli, A Carpentier, S Kpotufe
Proceedings of the 2017 Conference on Learning Theory, PMLR, 2017
322017
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Articles 1–20