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Luc Lehéricy
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 9
Top Topics
Denoising
Learning Rate
Noisy Data
Hidden States
Top Venues
CoRR
J. Mach. Learn. Res.
ICML
Stat. Comput.
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Publications
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Etienne David
,
Jean Bellot
,
Sylvain Le Corff
,
Luc Lehéricy
Identifiability of discrete input-output hidden Markov models with external signals.
Stat. Comput.
34 (1) (2024)
Julien Aubert
,
Luc Lehéricy
,
Patricia Reynaud-Bouret
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm.
ICML
(2023)
Julien Aubert
,
Luc Lehéricy
,
Patricia Reynaud-Bouret
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm.
CoRR
(2023)
Hermanni Hälvä
,
Sylvain Le Corff
,
Luc Lehéricy
,
Jonathan So
,
Yongjie Zhu
,
Elisabeth Gassiat
,
Aapo Hyvärinen
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA.
CoRR
(2021)
Jean Ollion
,
Charles Ollion
,
Elisabeth Gassiat
,
Luc Lehéricy
,
Sylvain Le Corff
Joint self-supervised blind denoising and noise estimation.
CoRR
(2021)
Hermanni Hälvä
,
Sylvain Le Corff
,
Luc Lehéricy
,
Jonathan So
,
Yongjie Zhu
,
Elisabeth Gassiat
,
Aapo Hyvärinen
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA.
NeurIPS
(2021)
Elisabeth Gassiat
,
Sylvain Le Corff
,
Luc Lehéricy
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space.
J. Mach. Learn. Res.
21 (2020)
Christophe Giraud
,
Yann Issartel
,
Luc Lehéricy
,
Matthieu Lerasle
Pair Matching: When bandits meet stochastic block model.
CoRR
(2019)
Luc Lehéricy
State-by-state Minimax Adaptive Estimation for Nonparametric Hidden Markov Models.
J. Mach. Learn. Res.
19 (2018)