Pierre Alquier

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Nicolas ChopinProfessor of Statistics, ENSAE (Institut Polytechnique de Paris)Verified email at ensae.fr
Benjamin GuedjInria & University College LondonVerified email at inria.fr
James RidgwayCapital Fund ManagementVerified email at cfm.fr
Badr-Eddine Chérief-AbdellatifUniversity of Oxford, Department of StatisticsVerified email at stats.ox.ac.uk
Olivier WintenbergerLPSM, Sorbonne UniversityVerified email at upmc.fr
Nial FrielProfessor of Statistics, University College Dublin, COSTNET CA15109Verified email at ucd.ie
Mohamed HebiriUniversité Paris-Est -- Marne-la-ValléeVerified email at u-pem.fr
Vincent CottetENSAEVerified email at ensae.fr
Gérard BiauProfessor, Sorbonne University, ParisVerified email at upmc.fr
Paul DoukhanProfessor of mathematics, University Cergy-PontoiseVerified email at cyu.fr
Richard G. EverittUniversity of WarwickVerified email at warwick.ac.uk
Xiaoyin LiAssistant Professor of Statistics, St.Cloud State UniversityVerified email at stcloudstate.edu
Karim LouniciStatistics Professor, Georgia Institute of TechnologyVerified email at math.gatech.edu
Feng LiangDepartment of StatisticsVerified email at illinois.edu
Katia MezianiMaitre de conférence, université Paris dauphineVerified email at ceremade.dauphine.fr
Léna Careldoctorante, CREST, ENSAE, Université Paris-SaclayVerified email at ensae.fr
Judith RousseauUniversity of oxfordVerified email at stats.ox.ac.uk
Massimiliano PontilIstituto Italiano di Tecnologia & University College LondonVerified email at iit.it
Guillaume LecuéProfessor - ENSAE - CRESTVerified email at ensae.fr
Eric GautierToulouse School of EconomicsVerified email at tse-fr.eu

Pierre Alquier

Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo

Verified email at postman.riken.jp - Homepage

Statistical learning theory aggregation of estimators approximate posterior inference mathematical statistics PAC-Bayes


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Noisy Monte Carlo: Convergence of Markov chains with approximate transition kernels P Alquier, N Friel, R Everitt, A Boland Statistics and Computing 26 (1), 29-47, 2016	131	2016
On the properties of variational approximations of Gibbs posteriors P Alquier, J Ridgway, N Chopin Journal of Machine Learning Research 17 (239), 1-41, 2016	97	2016
Sparse single-index model P Alquier, G Biau Journal of Machine Learning Research 14 (Jan), 243-280, 2013	75	2013
PAC-Bayesian bounds for sparse regression estimation with exponential weights P Alquier, K Lounici Electronic Journal of Statistics 5, 127-145, 2011	75	2011
Model selection for weakly dependent time series forecasting P Alquier, O Wintenberger Bernoulli 18 (3), 883-913, 2012	60	2012
PAC-Bayesian bounds for randomized empirical risk minimizers P Alquier Mathematical Methods of Statistics 17 (4), 279-304, 2008	57	2008
PAC-Bayesian Estimation and Prediction in Sparse Additive Models B Guedj, P Alquier Electronic Journal of Statistics 7, 264-291, 2013	48	2013
Concentration of tempered posteriors and of their variational approximations P Alquier, J Ridgway The Annals of Statistics 48 (3), 1475-1497, 2020	46	2020
Estimation bounds and sharp oracle inequalities of regularized procedures with Lipschitz loss functions P Alquier, V Cottet, G Lecué The Annals of Statistics 47 (4), 2117-2144, 2019	37	2019
Regret bounds for lifelong learning P Alquier, TT Mai, M Pontil 20th International Conference on Artificial Intelligence and Statistics, 261-269, 2017	37	2017
Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures BE Chérief-Abdellatif, P Alquier Electronic Journal of Statistics 12 (2), 2995-3035, 2018	33	2018
A Bayesian Approach for Noisy Matrix Completion: Optimal Rate under General Sampling Distribution TT Mai, P Alquier Electronic Journal of Statistics 9, 823-841, 2015	31	2015
Prediction of time series by statistical learning: general losses and fast rates P Alquier, X Li, O Wintenberger Dependence Modeling 1, 65-93, 2013	31	2013
Simpler PAC-Bayesian bounds for hostile data P Alquier, B Guedj Machine Learning 107 (5), 887–902, 2018	29	2018
Inverse problems and high-dimensional estimation: stats in the Château Summer School, August 31-September 4, 2009 P Alquier, E Gautier, G Stoltz Springer Science & Business Media, 2011	26	2011
Bayesian methods for low-rank matrix estimation: short survey and theoretical study P Alquier 24th International Conference on Algorithmic Learning Theory, 309-323, 2013	24	2013
Lasso, iterative feature selection and the correlation selector: Oracle inequalities and numerical performances P Alquier Electronic Journal of Statistics 2, 1129-1152, 2008	22	2008
Rank penalized estimation of a quantum system P Alquier, C Butucea, M Hebiri, K Meziani, T Morimae Physical Review A 88 (3), 2013	21	2013
1-Bit matrix completion: PAC-Bayesian analysis of a variational approximation V Cottet, P Alquier Machine Learning 107 (3), 579-603, 2018	19	2018
Prediction of quantiles by statistical learning and application to GDP forecasting P Alquier, X Li 15th International Conference on Discovery Science, 23-36, 2012	19	2012

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