Alquier, Pierre

16 publications

JMLR 2025 Bayes Meets Bernstein at the Meta Level: An Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou, Pierre Alquier, Badr-Eddine Chérief-Abdellatif

JMLR 2025 Variance-Aware Estimation of Kernel Mean Embedding Geoffrey Wolfer, Pierre Alquier

NeurIPS 2024 Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin

FnTML 2024 User-Friendly Introduction to PAC-Bayes Bounds Pierre Alquier

ICML 2023 PAC-Bayesian Offline Contextual Bandits with Guarantees Otmane Sakhi, Pierre Alquier, Nicolas Chopin

AISTATS 2021 A Theoretical Analysis of Catastrophic Forgetting Through the NTK Overlap Matrix Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier

ICML 2021 Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions Pierre Alquier

ACML 2019 A Generalization Bound for Online Variational Inference Badr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan

MLJ 2018 1-Bit Matrix Completion: PAC-Bayesian Analysis of a Variational Approximation Vincent Cottet, Pierre Alquier

MLJ 2018 Simpler PAC-Bayesian Bounds for Hostile Data Pierre Alquier, Benjamin Guedj

AISTATS 2017 Regret Bounds for Lifelong Learning Pierre Alquier, The Tien Mai, Massimiliano Pontil

JMLR 2016 On the Properties of Variational Approximations of Gibbs Posteriors Pierre Alquier, James Ridgway, Nicolas Chopin

NeurIPS 2014 PAC-Bayesian AUC Classification and Scoring James Ridgway, Pierre Alquier, Nicolas Chopin, Feng Liang

ALT 2013 Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study Pierre Alquier

JMLR 2013 Sparse Single-Index Model Pierre Alquier, Gérard Biau

ALT 2010 An Algorithm for Iterative Selection of Blocks of Features Pierre Alquier