Louis Faury - RankMe

19 papers A* 2A 3B 1Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2022	A	`conf`	Jointly Efficient and Optimal Algorithms for Logistic Bandits. AISTATS Louis Faury, Marc Abeille, Kwang-Sung Jun, Clément Calauzènes
2022	J	`jnl`	Jointly Efficient and Optimal Algorithms for Logistic Bandits. CoRR Louis Faury, Marc Abeille, Kwang-Sung Jun, Clément Calauzènes
2021	B	`conf`	A Technical Note on Non-Stationary Parametric Bandits: Existing Mistakes and Preliminary Solutions. ALT Louis Faury, Yoan Russac, Marc Abeille, Clément Calauzènes
2021	A	`conf`	Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits. AISTATS Marc Abeille, Louis Faury, Clément Calauzènes
2021	J	`jnl`	Regret Bounds for Generalized Linear Bandits under Parameter Drift. CoRR Louis Faury, Yoan Russac, Marc Abeille, Clément Calauzènes
2021	A	`conf`	Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. AISTATS Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier
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
2020	A*	`conf`	Distributionally Robust Counterfactual Risk Minimization. AAAI Louis Faury, Ugo Tanielian, Elvis Dohmatob, Elena Smirnova, Flavian Vasile
2020	A*	`conf`	Improved Optimistic Algorithms for Logistic Bandits. ICML Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
2020	J	`jnl`	Improved Optimistic Algorithms for Logistic Bandits. CoRR Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
2020	J	`jnl`	Improving Offline Contextual Bandits with Distributional Robustness. CoRR Otmane Sakhi, Louis Faury, Flavian Vasile
2020	J	`jnl`	Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits. CoRR Marc Abeille, Louis Faury, Clément Calauzènes
2020	J	`jnl`	Self-Concordant Analysis of Generalized Linear Bandits with Forgetting. CoRR Yoan Russac, Louis Faury, Olivier Cappé, Aurélien Garivier
2019	—	`conf`	Benchmarking GNN-CMA-ES on the BBOB noiseless testbed. GECCO (Companion) Louis Faury, Clément Calauzènes, Olivier Fercoq
2019	J	`jnl`	Distributionally Robust Counterfactual Risk Minimization. CoRR Louis Faury, Ugo Tanielian, Flavian Vasile, Elena Smirnova, Elvis Dohmatob
2019	J	`jnl`	Improving Evolutionary Strategies with Generative Neural Networks. CoRR Louis Faury, Clément Calauzènes, Olivier Fercoq, Syrine Krichene
2018	J	`jnl`	Neural Generative Models for Global Optimization with Gradients. CoRR Louis Faury, Flavian Vasile, Clément Calauzènes, Olivier Fercoq
2018	—	`conf`	Rover Descent: Learning to Optimize by Learning to Navigate on Prototypical Loss Surfaces. LION Louis Faury, Flavian Vasile
2018	J	`jnl`	Rover Descent: Learning to optimize by learning to navigate on prototypical loss surfaces. CoRR Louis Faury, Flavian Vasile