Faury Louis
Faury Louis
Criteo AI Lab, Télécom ParisTech
Verified email at criteo.com - Homepage
Title
Cited by
Cited by
Year
Improved Optimistic Algorithms for Logistic Bandits
L Faury, M Abeille, C Calauzènes, O Fercoq
International Conference on Machine Learning (ICML), 3052-3060, 2020
92020
Distributionally Robust Counterfactual Risk Minimization
L Faury, U Tanielian, F Vasile, E Smirnova, E Dohmatob
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) 34, 3850-3857, 2019
72019
Self-Concordant Analysis of Generalized Linear Bandits with Forgetting
Y Russac, L Faury, O Cappé, A Garivier
24th International Conference on Artificial Intelligence and Statistics …, 2020
32020
Improving Evolutionary Strategies with Generative Neural Networks
L Faury, C Calauzenes, O Fercoq, S Krichen
arXiv preprint arXiv:1901.11271, 2019
32019
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits
M Abeille, L Faury, C Calauzènes
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
22020
Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces
L Faury, F Vasile
12th International Conference on Learning and Intelligent Optimization …, 2018
22018
Regret Bounds for Generalized Linear Bandits under Parameter Drift
L Faury, Y Russac, M Abeille, C Calauzènes
arXiv preprint arXiv:2103.05750, 2021
2021
Optimal Regret Bounds for Generalized Linear Bandits under Parameter Drift
L Faury, Y Russac, M Abeille, C Calauzènes
Algorithmic Learning Theory, 619-655, 2021
2021
Improving Offline Contextual Bandits with Distributional Robustness
O Sakhi, L Faury, F Vasile
RecSys Workshop on Reinforcement Learning and Robust Estimators for …, 2020
2020
Benchmarking GNN-CMA-ES on the BBOB noiseless testbed
L Faury, C Calauzènes, O Fercoq
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
2019
Neural Generative Models for Global Optimization with Gradients
L Faury, F Vasile, C Calauzènes, O Fercoq
arXiv preprint arXiv:1805.08594, 2018
2018
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