Alexandra Carpentier
Alexandra Carpentier
OvGU Magdeburg
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Stochastic simultaneous optimistic optimization
M Valko, A Carpentier, R Munos
International Conference on Machine Learning, 19-27, 2013
Bandit theory meets compressed sensing for high dimensional stochastic linear bandit
A Carpentier, R Munos
Artificial Intelligence and Statistics, 190-198, 2012
An optimal algorithm for the thresholding bandit problem
A Locatelli, M Gutzeit, A Carpentier
International Conference on Machine Learning, 1690-1698, 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
Tight (lower) bounds for the fixed budget best arm identification bandit problem
A Carpentier, A Locatelli
Conference on Learning Theory, 590-604, 2016
Simple regret for infinitely many armed bandits
A Carpentier, M Valko
International Conference on Machine Learning, 1133-1141, 2015
Revealing graph bandits for maximizing local influence
A Carpentier, M Valko
Artificial Intelligence and Statistics, 10-18, 2016
Extreme bandits
A Carpentier, M Valko
Neural Information Processing Systems, 2014
Finite-time analysis of stratified sampling for monte carlo
A Carpentier, R Munos
NIPS-Twenty-Fifth Annual Conference on Neural Information Processing Systems, 2011
Adaptivity to smoothness in x-armed bandits
A Locatelli, A Carpentier
Conference on Learning Theory, 1463-1492, 2018
Hybrid collaborative filtering with autoencoders
F Strub, J Mary, R Gaudel
arXiv preprint arXiv:1603.00806, 2016
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
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
Adaptive confidence sets for matrix completion
A Carpentier, O Klopp, M Löffler, R Nickl
Bernoulli 24 (4A), 2429-2460, 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
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
Adaptive and minimax optimal estimation of the tail coefficient
A Carpentier, AKH Kim
Statistica Sinica, 1133-1144, 2015
Adaptive estimation of the sparsity in the Gaussian vector model
A Carpentier, N Verzelen
Annals of Statistics 47 (1), 93-126, 2019
Honest and adaptive confidence sets in
A Carpentier
Electronic Journal of Statistics 7, 2875-2923, 2013
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
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Artiklar 1–20