Luc Lehéricy
5 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(4)
Learning Types
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core Methods
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Mathematics
(1)
Models
(1)
Optimization
(1)
Keywords
nonparametric estimation
(2)
hidden markov model
(2)
online learning
(1)
variational inference
(1)
minimax estimation
(1)
maximum likelihood estimation
(1)
exp3 algorithm
(1)
consistent estimation
(1)
learning rate
(1)
state space model
(1)
contextual bandit
(1)
stochastic bandit
(1)
convergence bound
(1)
deep generative model
(1)
error bound
(1)
nonlinear ica
(1)
adaptive estimation
(1)
translation model
(1)
weak convergence
(1)
hold-out validation
(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
NeurIPS 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