Pierre Alquier

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 31

Top Topics

Tuning Parameters

Variational Approximation

Policy Evaluation

Top Venues

Publications

Pierre Alquier
User-friendly Introduction to PAC-Bayes Bounds. Found. Trends Mach. Learn. 17 (2) (2024)
Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning. CoRR (2024)
Otmane Sakhi, Pierre Alquier, Nicolas Chopin
PAC-Bayesian Offline Contextual Bandits With Guarantees. ICML (2023)
Charles Riou, Pierre Alquier, Badr-Eddine Chérief-Abdellatif
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes. CoRR (2023)
Otmane Sakhi, Nicolas Chopin, Pierre Alquier
PAC-Bayesian Offline Contextual Bandits With Guarantees. CoRR (2022)
Geoffrey Wolfer, Pierre Alquier
Variance-Aware Estimation of Kernel Mean Embedding. CoRR (2022)
Pierre Alquier
User-friendly introduction to PAC-Bayes bounds. CoRR (2021)
Dimitri Meunier, Pierre Alquier
Meta-Strategy for Learning Tuning Parameters with Guarantees. Entropy 23 (10) (2021)
Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix. AISTATS (2021)
Dimitri Meunier, Pierre Alquier
Meta-strategy for Learning Tuning Parameters with Guarantees. CoRR (2021)
Léna Carel, Pierre Alquier
Simultaneous dimension reduction and clustering via the NMF-EM algorithm. Adv. Data Anal. Classif. 15 (1) (2021)
Pierre Alquier
Non-Exponentially Weighted Aggregation: Regret Bounds for Unbounded Loss Functions. ICML (2021)
Pierre Alquier
Approximate Bayesian Inference. Entropy 22 (11) (2020)
Thang Doan, Mehdi Abbana Bennani, Bogdan Mazoure, Guillaume Rabusseau, Pierre Alquier
A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix. CoRR (2020)
Pierre Alquier
Non-exponentially weighted aggregation: regret bounds for unbounded loss functions. CoRR (2020)
Pierre Alquier, Karine Bertin, Paul Doukhan, Rémy Garnier
High-dimensional VAR with low-rank transition. Stat. Comput. 30 (4) (2020)
Badr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan
A Generalization Bound for Online Variational Inference. ACML (2019)
Badr-Eddine Chérief-Abdellatif, Pierre Alquier
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy. AABI (2019)
Florian Maire, Nial Friel, Pierre Alquier
Informed sub-sampling MCMC: approximate Bayesian inference for large datasets. Stat. Comput. 29 (3) (2019)
Badr-Eddine Chérief-Abdellatif, Pierre Alquier
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy. CoRR (2019)
Badr-Eddine Chérief-Abdellatif, Pierre Alquier
Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence. CoRR (2019)
Badr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan
A Generalization Bound for Online Variational Inference. CoRR (2019)
Vincent Cottet, Pierre Alquier
1-Bit matrix completion: PAC-Bayesian analysis of a variational approximation. Mach. Learn. 107 (3) (2018)
Pierre Alquier, Benjamin Guedj
Simpler PAC-Bayesian bounds for hostile data. Mach. Learn. 107 (5) (2018)
Pierre Alquier, Paul Doukhan, Xiequan Fan
Exponential inequalities for nonstationary Markov Chains. CoRR (2018)
Léna Carel, Pierre Alquier
Non-negative matrix factorization as a pre-processing tool for travelers temporal profiles clustering. ESANN (2017)
Pierre Alquier, James Ridgway
Concentration of tempered posteriors and of their variational approximations. CoRR (2017)
Pierre Alquier, The Tien Mai, Massimiliano Pontil
Regret Bounds for Lifelong Learning. AISTATS (2017)
Pierre Alquier, The Tien Mai, Massimiliano Pontil
Regret Bounds for Lifelong Learning. CoRR (2016)
Pierre Alquier, Nial Friel, Richard G. Everitt, Aidan Boland
Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels. Stat. Comput. 26 (1-2) (2016)
Pierre Alquier, James Ridgway, Nicolas Chopin
On the properties of variational approximations of Gibbs posteriors. J. Mach. Learn. Res. 17 (2016)
James Ridgway, Pierre Alquier, Nicolas Chopin, Feng Liang
PAC-Bayesian AUC classification and scoring. NIPS (2014)
Pierre Alquier, Gérard Biau
Sparse single-index model. J. Mach. Learn. Res. 14 (1) (2013)
Pierre Alquier
Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study. ALT (2013)
Pierre Alquier, Xiaoyin Li
Prediction of Quantiles by Statistical Learning and Application to GDP Forecasting. Discovery Science (2012)
Pierre Alquier
An Algorithm for Iterative Selection of Blocks of Features. ALT (2010)