Rémy Degenne

According to our database, Rémy Degenne authored at least 22 papers between 2014 and 2024.

Collaborative distances:

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

2024

Information Lower Bounds for Robust Mean Estimation.

Rémy Degenne, Timothée Mathieu

CoRR, 2024

2023

An ε-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond.

Marc Jourdan, Rémy Degenne, Emilie Kaufmann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Non-Asymptotic Analysis of a UCB-based Top Two Algorithm.

Marc Jourdan, Rémy Degenne

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits.

Dorian Baudry, Fabien Pesquerel, Rémy Degenne, Odalric-Ambrym Maillard

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Formalization of Doob's Martingale Convergence Theorems in mathlib.

Kexing Ying, Rémy Degenne

Proceedings of the 12th ACM SIGPLAN International Conference on Certified Programs and Proofs, 2023

On the Existence of a Complexity in Fixed Budget Bandit Identification.

Rémy Degenne

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Dealing with Unknown Variances in Best-Arm Identification.

Marc Jourdan, Rémy Degenne, Emilie Kaufmann

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

Choosing Answers in ε-Best-Answer Identification for Linear Bandits.

Marc Jourdan, Rémy Degenne

CoRR, 2022

On Elimination Strategies for Bandit Fixed-Confidence Identification.

Andrea Tirinzoni, Rémy Degenne

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Top Two Algorithms Revisited.

Marc Jourdan, Rémy Degenne, Dorian Baudry, Rianne de Heide, Emilie Kaufmann

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Choosing Answers in Epsilon-Best-Answer Identification for Linear Bandits.

Marc Jourdan, Rémy Degenne

Proceedings of the International Conference on Machine Learning, 2022

2021

Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits.

Reda Ouhamma, Rémy Degenne, Pierre Gaillard, Vianney Perchet

CoRR, 2021

Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification.

Clémence Réda, Andrea Tirinzoni, Rémy Degenne

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Structure Adaptive Algorithms for Stochastic Bandits.

Rémy Degenne, Han Shao, Wouter M. Koolen

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

Gamification of Pure Exploration for Linear Bandits.

Rémy Degenne, Pierre Ménard, Xuedong Shang, Michal Valko

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

2019

Non-Asymptotic Pure Exploration by Solving Games.

Rémy Degenne, Wouter M. Koolen, Pierre Ménard

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Pure Exploration with Multiple Correct Answers.

Rémy Degenne, Wouter M. Koolen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bridging the gap between regret minimization and best arm identification, with application to A/B tests.

Rémy Degenne, Thomas Nedelec, Clément Calauzènes, Vianney Perchet

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Bandits with Side Observations: Bounded vs. Logarithmic Regret.

Rémy Degenne, Evrard Garcelon, Vianney Perchet

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

2016

Combinatorial semi-bandit with known covariance.

Rémy Degenne, Vianney Perchet

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Anytime optimal algorithms in stochastic multi-armed bandits.

Rémy Degenne, Vianney Perchet

Proceedings of the 33nd International Conference on Machine Learning, 2016

2014

Accelerated gradient temporal difference learning algorithms.

Dominik Meyer, Rémy Degenne, Ahmed Omrane, Hao Shen

Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014