Nicolas Chopin
7 papers · 2014–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Half
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(21)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(7)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types
(2)
Mathematics
(2)
Deep Learning
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core Methods
(1)
Methods
(1)
Optimization
(1)
Techniques
(1)
Keywords
contextual bandit
(2)
particle filter
(2)
sequential monte carlo
(2)
variational inference
(1)
feature selection
(1)
kl divergence
(1)
bayesian inference
(1)
parallel computing
(1)
importance sampling
(1)
diffusion process
(1)
oracle inequality
(1)
area under curve
(1)
expectation propagation
(1)
policy learning
(1)
convex optimization
(1)
importance weighting
(1)
off-policy learning
(1)
policy selection
(1)
gibbs sampler
(1)
policy optimization
(1)
Papers
A connection between Tempering and Entropic Mirror Descent
ICML 2024
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
NeurIPS 2024
Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions
ICML 2023
PAC-Bayesian Offline Contextual Bandits With Guarantees
ICML 2023
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
JMLR 2022
On the properties of variational approximations of Gibbs posteriors
JMLR 2016
PAC-Bayesian AUC classification and scoring
NeurIPS 2014