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2020 – today
- 2024
[j3]Etienne David, Jean Bellot, Sylvain Le Corff
, Luc Lehéricy:
Identifiability of discrete input-output hidden Markov models with external signals. Stat. Comput. 34(1): 54 (2024)- 2023
- [c2]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: 1244-1275 - [i4]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 abs/2305.06660 (2023) - 2021
- [c1]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: 1624-1633 - [i3]Jean Ollion, Charles Ollion, Elisabeth Gassiat, Luc Lehéricy, Sylvain Le Corff:
Joint self-supervised blind denoising and noise estimation. CoRR abs/2102.08023 (2021) - [i2]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 abs/2106.09620 (2021) - 2020
- [j2]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: 115:1-115:40 (2020)
2010 – 2019
- 2019
- [i1]Christophe Giraud, Yann Issartel, Luc Lehéricy, Matthieu Lerasle:
Pair Matching: When bandits meet stochastic block model. CoRR abs/1905.07342 (2019) - 2018
- [j1]Luc Lehéricy:
State-by-state Minimax Adaptive Estimation for Nonparametric Hidden Markov Models. J. Mach. Learn. Res. 19: 39:1-39:46 (2018)
Coauthor Index
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