Marc Abeille
Marc Abeille
Criteo
Verified email at ens-cachan.fr
Title
Cited by
Cited by
Year
Linear thompson sampling revisited
M Abeille, A Lazaric
Electronic Journal of Statistics 11 (2), 5165-5197, 2017
622017
Improved regret bounds for thompson sampling in linear quadratic control problems
M Abeille, A Lazaric
Proceedings of Machine Learning Research 80, 2018
372018
Thompson sampling for linear-quadratic control problems
M Abeille, A Lazaric
arXiv preprint arXiv:1703.08972, 2017
312017
LQG for portfolio optimization
M Abeille, A Lazaric, X Brokmann
Available at SSRN 2863925, 2016
102016
Thresholding the virtual value: a simple method to increase welfare and lower reserve prices in online auction systems
T Nedelec, M Abeille, C Calauzenes, N El Karoui, B Heymann, V Perchet
arXiv preprint arXiv:1808.06979, 2018
52018
Linear Thompson sampling revisited
M Abeille, A Lazaric
arXiv preprint arXiv:1611.06534, 2016
52016
Explicit shading strategies for repeated truthful auctions
M Abeille, C Calauzènes, NE Karoui, T Nedelec, V Perchet
arXiv preprint arXiv:1805.00256, 2018
32018
Thompson sampling in non-episodic restless bandits
YH Jung, M Abeille, A Tewari
arXiv preprint arXiv:1910.05654, 2019
12019
Thompson Sampling pour l’exploration-exploitation dans les systèmes linéaires
M Abeille
2020
Improved Optimistic Algorithms for Logistic Bandits
L Faury, M Abeille, C Calauzènes, O Fercoq
arXiv preprint arXiv:2002.07530, 2020
2020
The bidder's standpoint: a simple way to improve bidding strategies in revenue-maximizing auctions
T Nedelec, M Abeille, C Calauzènes, NE Karoui, B Heymann, V Perchet
arXiv preprint arXiv:1808.06979, 2018
2018
Thresholding at the monopoly price: an agnostic way to improve bidding strategies in revenue-maximizing auctions
T Nedelec, M Abeille, C Calauzènes, B Heymann, V Perchet, N El Karoui
arXiv, arXiv: 1808.06979, 2018
2018
Exploration-Exploitation with Thompson Sampling in Linear Systems
M Abeille
2017
Optimism and Randomness in Linear Multi-Armed Bandit
A Lazaric, M Abeille
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Articles 1–14