Louis Faury

According to our database, Louis Faury authored at least 13 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Jointly Efficient and Optimal Algorithms for Logistic Bandits.

Louis Faury, Marc Abeille, Kwang-Sung Jun, Clément Calauzènes

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Variance-sensitive confidence intervals for parametric and offline bandits. (Intervalles de confiance sensibles à la variance : Applications aux bandits paramétriques et bandits hors ligne).

Louis Faury

PhD thesis, 2021

Regret Bounds for Generalized Linear Bandits under Parameter Drift.

Louis Faury, Yoan Russac, Marc Abeille, Clément Calauzènes

CoRR, 2021

A Technical Note on Non-Stationary Parametric Bandits: Existing Mistakes and Preliminary Solutions.

Louis Faury, Yoan Russac, Marc Abeille, Clément Calauzènes

Proceedings of the Algorithmic Learning Theory, 2021

Self-Concordant Analysis of Generalized Linear Bandits with Forgetting.

Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits.

Marc Abeille, Louis Faury, Clément Calauzènes

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Improving Offline Contextual Bandits with Distributional Robustness.

Otmane Sakhi, Louis Faury, Flavian Vasile

CoRR, 2020

Improved Optimistic Algorithms for Logistic Bandits.

Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq

Proceedings of the 37th International Conference on Machine Learning, 2020

Distributionally Robust Counterfactual Risk Minimization.

Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Improving Evolutionary Strategies with Generative Neural Networks.

Louis Faury, Clément Calauzènes, Olivier Fercoq, Syrine Krichene

CoRR, 2019

Benchmarking GNN-CMA-ES on the BBOB noiseless testbed.

Louis Faury, Clément Calauzènes, Olivier Fercoq

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018

Neural Generative Models for Global Optimization with Gradients.

Louis Faury, Flavian Vasile, Clément Calauzènes, Olivier Fercoq

CoRR, 2018

Rover Descent: Learning to Optimize by Learning to Navigate on Prototypical Loss Surfaces.

Louis Faury, Flavian Vasile

Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018