Antoine Chambaz

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Mark van der LaanJiann-Ping Hsu/Karl E. Peace Professor of Biostatistics & Statistics, University of California BerkeleyVerified email at berkeley.edu
Alan HUBBARDDivision of Biostatistics, University of California, BerkeleyVerified email at berkeley.edu
Aurelien BibautNetflixVerified email at berkeley.edu
Romain PirracchioUCSFVerified email at ucsf.edu
Pierre NeuvialCNRS, Institut de Mathématiques de ToulouseVerified email at math.univ-toulouse.fr
Alex LuedtkeAssociate Professor of Statistics, University of WashingtonVerified email at uw.edu
Cheng JuUniversity of California, BerkeleyVerified email at berkeley.edu
Ivana MalenicaHarvard University, U.C. BerkeleyVerified email at fas.harvard.edu
Samuel LendleUniversity of California, BerkeleyVerified email at berkeley.edu
Aurélien GarivierEcole Normale Supérieure de LyonVerified email at ens-lyon.fr
Jessica M. FranklinOptum EpidemiologyVerified email at optum.com
Judith RousseauUniversity of oxfordVerified email at stats.ox.ac.uk
Prof. Alice BletMD, PhD, Hospices Civil Lyon, FranceVerified email at chu-lyon.fr
Emilie KaufmannCNRS & Univ. Lille (CRIStAL)Verified email at inria.fr
Richard WyssBrigham and Women's Hospital/Harvard Medical SchoolVerified email at bwh.harvard.edu
Sebastian Schneeweiss, M.D., Sc.D.Professor of Medicine and Epidemiology, Harvard Medical SchoolVerified email at post.harvard.edu
Eric DenionOphthalmologist (consultant), Caen University Hospital, FranceVerified email at chu-caen.fr
Catherine MatiasCNRS, Université Pierre et Marie Curie, COSTNET CA15109Verified email at math.cnrs.fr
Michael RosenblumProfessor of Biostatistics, Johns Hopkins UniversityVerified email at jhsph.edu
Pierre-Paul VIDALCNRSVerified email at parisdescartes.fr

Antoine Chambaz

Professor of Statistics, MAP5 (UMR CNRS 8145), Université de Paris

Verified email at u-paris.fr - Homepage

Semiparametrics reinforcement learning biostatistics


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Estimation of a non-parametric variable importance measure of a continuous exposure A Chambaz, P Neuvial, MJ van der Laan Electronic journal of statistics 6, 1059, 2012	71	2012
Big data and targeted machine learning in action to assist medical decision in the ICU R Pirracchio, MJ Cohen, I Malenica, J Cohen, A Chambaz, M Cannesson, ... Anaesthesia Critical Care & Pain Medicine 38 (4), 377-384, 2019	68	2019
Post-contextual-bandit inference A Bibaut, M Dimakopoulou, N Kallus, A Chambaz, M van Der Laan Advances in neural information processing systems 34, 28548-28559, 2021	53	2021
Prediction of an acute hypotensive episode during an ICU hospitalization with a super learner machine-learning algorithm M Cherifa, A Blet, A Chambaz, E Gayat, M Resche-Rigon, R Pirracchio Anesthesia & Analgesia 130 (5), 1157-1166, 2020	51	2020
Scalable collaborative targeted learning for high-dimensional data C Ju, S Gruber, SD Lendle, A Chambaz, JM Franklin, R Wyss, ... Statistical methods in medical research 28 (2), 532-554, 2019	44	2019
A minimum description length approach to hidden Markov models with Poisson and Gaussian emissions. Application to order identification A Chambaz, A Garivier, E Gassiat Journal of Statistical Planning and Inference 139 (3), 962-977, 2009	44*	2009
Targeting the optimal design in randomized clinical trials with binary outcomes and no covariate: theoretical study A Chambaz, MJ van der Laan The International Journal of Biostatistics 7 (1), 1-32, 2011	41*	2011
Bounds for Bayesian order identification with application to mixtures A Chambaz, J Rousseau	34	2008
Inference in targeted group‐sequential covariate‐adjusted randomized clinical trials A Chambaz, MJ van der Laan Scandinavian Journal of Statistics 41 (1), 104-140, 2014	27	2014
Testing the order of a model A Chambaz	26	2006
Targeted sequential design for targeted learning inference of the optimal treatment rule and its mean reward A Chambaz, W Zheng, MJ van der Laan Annals of statistics 45 (6), 2537, 2017	25	2017
Performance guarantees for policy learning A Luedtke, A Chambaz Annales de l'IHP Probabilites et statistiques 56 (3), 2162, 2020	22	2020
Asymptotically optimal algorithms for multiple play bandits with partial feedback AR Luedtke, E Kaufmann, A Chambaz	19*	2016
A scale-invariant sorting criterion to find a causal order in additive noise models A Reisach, M Tami, C Seiler, A Chambaz, S Weichwald Advances in Neural Information Processing Systems 36, 785-807, 2023	18	2023
Targeted covariate-adjusted response-adaptive lasso-based randomized controlled trials A Chambaz, MJ van Der Laan, W Zheng Modern adaptive randomized clinical trials: statistical, operational, and …, 2014	18	2014
Control of neuronal persistent activity by voltage-dependent dendritic properties E Idoux, D Eugène, A Chambaz, C Magnani, JA White, LE Moore Journal of neurophysiology 100 (3), 1278-1286, 2008	18	2008
Risk minimization from adaptively collected data: Guarantees for supervised and policy learning A Bibaut, N Kallus, M Dimakopoulou, A Chambaz, M van Der Laan Advances in neural information processing systems 34, 19261-19273, 2021	17	2021
Faster rates for policy learning A Luedtke, A Chambaz arXiv preprint arXiv:1704.06431, 2017	13	2017
Rate-adaptive model selection over a collection of black-box contextual bandit algorithms AF Bibaut, A Chambaz, MJ van der Laan arXiv preprint arXiv:2006.03632, 2020	10	2020
tmle. npvi: targeted, integrative search of associations between DNA copy number and gene expression, accounting for DNA methylation A Chambaz, P Neuvial Bioinformatics 31 (18), 3054-3056, 2015	10	2015

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