Luc Lehéricy

According to our database, Luc Lehéricy authored at least 10 papers between 2018 and 2025.

Collaborative distances:

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

2025

Model selection for behavioral learning data and applications to contextual bandits.

Julien Aubert, Louis Köhler, Luc Lehéricy, Giulia Mezzadri, Patricia Reynaud-Bouret

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Identifiability of discrete input-output hidden Markov models with external signals.

Etienne David, Jean Bellot, Sylvain Le Corff, Luc Lehéricy

Stat. Comput., February, 2024

Multi-agent Sequential Learning via Gradient Ascent Credit Assignment.

Oussama Sabri, Luc Lehéricy, Alexandre Muzy

Proceedings of the 2024 8th International Conference on Computer Science and Artificial Intelligence, 2024

Gradient Ascent Activity-Based Credit Assignment with History-Dependent Reward.

Oussama Sabri, Luc Lehéricy, Alexandre Muzy

Proceedings of the Brain Informatics - 17th International Conference, 2024

2023

On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm.

Julien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret

Proceedings of the International Conference on Machine Learning, 2023

2021

Joint self-supervised blind denoising and noise estimation.

Jean Ollion, Charles Ollion, Elisabeth Gassiat, Luc Lehéricy, Sylvain Le Corff

CoRR, 2021

Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA.

Hermanni Hälvä, Sylvain Le Corff, Luc Lehéricy, Jonathan So, Yongjie Zhu, Elisabeth Gassiat, Aapo Hyvärinen

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

2020

Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space.

Elisabeth Gassiat, Sylvain Le Corff, Luc Lehéricy

J. Mach. Learn. Res., 2020

2019

Pair Matching: When bandits meet stochastic block model.

Christophe Giraud, Yann Issartel, Luc Lehéricy, Matthieu Lerasle

CoRR, 2019

2018

State-by-state Minimax Adaptive Estimation for Nonparametric Hidden Markov Models.

Luc Lehéricy

J. Mach. Learn. Res., 2018