Antoine Chambaz
Antoine Chambaz
Professor of Statistics, MAP5 (UMR CNRS 8145), Université de Paris
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
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
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
Bounds for Bayesian order identification with application to mixtures
A Chambaz, J Rousseau
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
Testing the order of a model
A Chambaz
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
Performance guarantees for policy learning
A Luedtke, A Chambaz
Annales de l'IHP Probabilites et statistiques 56 (3), 2162, 2020
Asymptotically optimal algorithms for multiple play bandits with partial feedback
A Luedtke, E Kaufmann, A Chambaz
arXiv preprint arXiv:1606.09388, 2016
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
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
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
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, 2024
Faster rates for policy learning
A Luedtke, A Chambaz
arXiv preprint arXiv:1704.06431, 2017
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
Causality, a trialogue
A Chambaz, I Drouet, JC Thalabard
Journal of Causal Inference 2 (2), 201-241, 2014
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