Luc Lehéricy
5 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (11)
🗺️
Taxonomy Completionist
(14)
🐣
Hot Topic Early Bird
Conferences
JMLR (2)
AISTATS (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
hidden markov model
(2)
nonparametric estimation
(2)
variational inference
(1)
minimax estimation
(1)
maximum likelihood estimation
(1)
exp3 algorithm
(1)
consistent estimation
(1)
learning rate
(1)
state space model
(1)
stochastic bandit
(1)
convergence bound
(1)
deep generative model
(1)
nonlinear ica
(1)
adaptive estimation
(1)
translation model
(1)
weak convergence
(1)
spectral estimator
(1)
unsupervised learning
(1)
polynomial convergence
(1)
online learning
(1)
Papers
Model selection for behavioral learning data and applications to contextual bandits
AISTATS 2025
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm
ICML 2023
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA
NIPS 2021
Identifiability and Consistent Estimation of Nonparametric Translation Hidden Markov Models with General State Space
JMLR 2020
State-by-state Minimax Adaptive Estimation for Nonparametric Hidden {M}arkov Models
JMLR 2018