Pierre Alquier

发表

LASSO and Iterative Feature Selection: Oracle Inequalities and Numerical Performances

Pierre Alquier, Pierre Alquier, 2007 .

Model selection for weakly dependent time series forecasting

Pierre Alquier, Olivier Wintenberger, Pierre Alquier, 2009, 0902.2924.

Prediction of Quantiles by Statistical Learning and Application to GDP Forecasting

Pierre Alquier, Xiaoyin Li, Pierre Alquier, 2012, Discovery Science.

Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence pdf

Pierre Alquier, Badr-Eddine Ch'erief-Abdellatif, Pierre Alquier, 2019, Bernoulli.

Noisy Monte Carlo: convergence of Markov chains with approximate transition kernels

Pierre Alquier, Richard G. Everitt, Nial Friel, 2014, Statistics and Computing.

Exponential inequalities for nonstationary Markov chains

Pierre Alquier, Xiequan Fan, Paul Doukhan, 2018, Dependence Modeling.

MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy

Pierre Alquier, Badr-Eddine Chérief-Abdellatif, 2019, AABI.

Approximate Bayesian Inference

Pierre Alquier, Pierre Alquier, 2020, Entropy.

Sparse single-index model

Pierre Alquier, Gérard Biau, Pierre Alquier, 2011, J. Mach. Learn. Res..

Informed sub-sampling MCMC: approximate Bayesian inference for large datasets

Pierre Alquier, Nial Friel, Florian Maire, 2017, Stat. Comput..

A Generalization Bound for Online Variational Inference pdf

Mohammad Emtiyaz Khan, Pierre Alquier, Badr-Eddine Chérief-Abdellatif, 2019, ACML.

Simultaneous dimension reduction and clustering via the NMF-EM algorithm

Pierre Alquier, L'ena Carel, Pierre Alquier, 2017, Adv. Data Anal. Classif..

Model selection and randomization for weakly dependent time series forecasting

Pierre Alquier, Olivier Wintenberger, Pierre Alquier, 2009 .

An Algorithm for Iterative Selection of Blocks of Features

Pierre Alquier, 2010, ALT.

Non-exponentially weighted aggregation: regret bounds for unbounded loss functions pdf

Pierre Alquier, 2020, ArXiv.

Regret Bounds for Lifelong Learning pdf

Pierre Alquier, Massimiliano Pontil, The Tien Mai, 2016, AISTATS.

Inverse problems and high-dimensional estimation : stats in the Château Summer School, August 31-September 4, 2009

Pierre Alquier, Eric Gautier, Gilles Stoltz, 2011 .

A Theoretical Analysis of Catastrophic Forgetting through the NTK Overlap Matrix pdf

Pierre Alquier, Thang Doan, Bogdan Mazoure, 2020, AISTATS.

High-dimensional VAR with low-rank transition

Pierre Alquier, R'emy Garnier, Karine Bertin, 2019, Statistics and Computing.

Concentration of tempered posteriors and of their variational approximations pdf

Pierre Alquier, James Ridgway, Pierre Alquier, 2017, The Annals of Statistics.

Non-negative matrix factorization as a pre-processing tool for travelers temporal profiles clustering

Pierre Alquier, Léna Carel, 2017, ESANN.

PAC-Bayesian AUC classification and scoring

Pierre Alquier, Feng Liang, James Ridgway, 2014, NIPS.

Simpler PAC-Bayesian bounds for hostile data

Pierre Alquier, Benjamin Guedj, Pierre Alquier, 2016, Machine Learning.

Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study

Pierre Alquier, Pierre Alquier, 2013, ALT.

1-Bit matrix completion: PAC-Bayesian analysis of a variational approximation

Pierre Alquier, Vincent Cottet, Pierre Alquier, 2016, Machine Learning.

On the properties of variational approximations of Gibbs posteriors

Pierre Alquier, James Ridgway, Nicolas Chopin, 2015, J. Mach. Learn. Res..

Estimation of copulas via Maximum Mean Discrepancy

Pierre Alquier, Jean-David Fermanian, Alexis Derumigny, 2020, Journal of the American Statistical Association.

Tight Risk Bound for High Dimensional Time Series Completion

Pierre Alquier, Nicolas Marie, Am'elie Rosier, 2021 .

Meta-Strategy for Learning Tuning Parameters with Guarantees

Pierre Alquier, Dimitri Meunier, 2021, Entropy.

Deviation inequalities for stochastic approximation by averaging

Pierre Alquier, Xiequan Fan, Paul Doukhan, 2021 .

Understanding the population structure correction regression

Pierre Alquier, The Tien Mai, 2021 .

Non-exponentially weighted aggregation: regret bounds for unbounded loss functions pdf

Pierre Alquier, Pierre Alquier, 2020, ICML.

Finite sample properties of parametric MMD estimation: robustness to misspecification and dependence pdf

Pierre Alquier, Badr-Eddine Ch'erief-Abdellatif, 2022, Bernoulli.

Iterative feature selection in least square regression estimation

Pierre Alquier, Pierre Alquier, 2005, math/0511299.

Transductive and Inductive Adaptative Inference for Regression and Density Estimation

Pierre Alquier, 2006 .

Density estimation with quadratic loss: a confidence intervals method

Pierre Alquier, Pierre Alquier, 2006, ESAIM: Probability and Statistics.

Bayesian matrix completion: prior specification and consistency

Judith Rousseau, Pierre Alquier, Nicolas Chopin, 2014 .

LASSO, Iterative Feature Selection and the Correlation Selector: Oracle Inequalities and Numerical Performances

Pierre Alquier, 2008 .

LASSO, Iterative Feature Selection and the Correlation Selector: Oracle inequalities and numerical performances

Pierre Alquier, Pierre Alquier, 2007, Electronic Journal of Statistics.

Transductive versions of the LASSO and the Dantzig Selector

Pierre Alquier, Mohamed Hebiri, Pierre Alquier, 2009, Journal of Statistical Planning and Inference.