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authFullName_s : Antoine Chambaz
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Scalable Collaborative Targeted Learning for High-Dimensional Data

Cheng J Ju , Susan Gruber , Samuel D Lendle , Antoine Chambaz , Jessica J Franklin et al.
2017
Preprints, Working Papers, ... hal-01487569v1

A Ride in Targeted Learning Territory

Antoine Chambaz , David Benkeser
Journal de la Société Française de Statistique, 2020, 161 (1), pp.201-286
Journal articles hal-02886218v1

Performance guarantees for policy learning

Alexander Luedtke , Antoine Chambaz
Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 2020, 56 (3), pp.2162-2188. ⟨10.1214/19-AIHP1034⟩
Journal articles hal-02886222v1

Personalized online ensemble machine learning with applications for dynamic data streams

Ivana Malenica , Rachael Phillips , Antoine Chambaz , Alan Hubbard , Romain Pirracchio et al.
Statistics in Medicine, 2023, ⟨10.1002/sim.9655⟩
Journal articles hal-03942445v1

C-TMLE for Continuous Tuning

Mark van der Laan , Antoine Chambaz , Cheng Ju
Targeted Learning in Data Science, Springer International Publishing, pp.143-161, 2018, Springer Series in Statistics, ⟨10.1007/978-3-319-65304-4_10⟩
Book sections hal-03934919v1

Une introduction à l'apprentissage ciblé

David Benkeser , Antoine Chambaz
Statistique et causalité, Éditions TECHNIP, pp.201-254, 2021, 978-2-7108-1193-0
Book sections hal-03936195v1

Targeting a Simple Statistical Bandit Problem

Antoine Chambaz , Wenjing Zheng , Mark van der Laan
Targeted Learning in Data Science, Springer International Publishing, pp.437-451, 2018, Springer Series in Statistics, ⟨10.1007/978-3-319-65304-4_24⟩
Book sections hal-03936284v1

Simpson’s paradox, a tale of causality

Antoine Chambaz , Isabelle Drouet , Sonia Memetea
Journal de la Société Française de Statistique, 2020, 161 (1), pp.42-66
Journal articles hal-02886206v1
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Simpson's paradox, a tale of causality

Antoine Chambaz , Isabelle Drouet , Sonia Memetea
Journal de la Société Française de Statistique, 2020, 161 (1), pp.42-66
Journal articles hal-01664904v1

Acceleration, due to occupational exposure, of time to onset of a disease

Antoine Chambaz , Dominique Choudat , Catherine Huber-Carol
Christos P. Kitsos; Teresa A. Oliveira; Alexandros Rigas; Sneh Gulati. Theory and Practice of Risk Assessment, 2015, 978-3-319-18028-1
Book sections hal-01180747v1
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Collaborative targeted inference from continuously indexed nuisance parameter estimators

Cheng Ju , Antoine Chambaz , Mark van Der Laan
2018
Preprints, Working Papers, ... hal-01759020v1

Control of neuronal persistent activity by voltage-dependent dendritic properties.

Erwin Idoux , Daniel Eugene , Antoine Chambaz , Christophe Magnani , John A White et al.
Journal of Neurophysiology, 2008, pp.1278-1286. ⟨10.1152/jn.90559.2008⟩
Journal articles hal-00306049v1

Bounds for Bayesian order identification with application to mixtures

Antoine Chambaz , Judith Rousseau
Annals of Statistics, 2008, 36 (2), pp.938-962. ⟨10.1214/009053607000000857⟩
Journal articles hal-00262054v1
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Number of hidden states and memory: a joint order estimation problem for Markov chains with Markov regime

Antoine Chambaz , Catherine Matias
ESAIM: Probability and Statistics, 2009, 13, pp.38-50. ⟨10.1051/ps:2007048⟩
Journal articles hal-00480190v1

Precision machine learning to understand micro-RNA regulation in neurodegenerative diseases

Lucile Mégret , Cloé Mendoza , Maialen Arrieta Lobo , Emmanuel Brouillet , Thi-Thanh-Yen Nguyen et al.
Frontiers in Molecular Neuroscience, 2022, 15, ⟨10.3389/fnmol.2022.914830⟩
Journal articles hal-03869363v1

Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning

Aurélien Bibaut , Antoine Chambaz , Maria Dimakopoulou , Nathan Kallus , Mark van Der Laan et al.
2021
Preprints, Working Papers, ... hal-03294350v1
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Targeting the optimal design in randomized clinical trials with binary outcomes and no covariate

Antoine Chambaz , Mark van Der Laan
The international journal of biostatistics, 2011, 7 (1), pp.Articles 10 et 11. ⟨10.2202/1557-4679.1247et10.2202/1557-4679.1310⟩
Journal articles hal-00457749v2
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Causality, a trialogue

Antoine Chambaz , Isabelle Drouet , Jean-Christophe Thalabard
Journal of Causal Inference, 2014, 2 (2), pp.201-241. ⟨10.1515/jci-2013-0024⟩
Journal articles hal-00807337v2
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Classification in postural style

Antoine Chambaz , Christophe Denis
Annals of Applied Statistics, 2012
Journal articles hal-00576070v1

Plica semilunaris temporal ectopia: evidence of primary nasal pterygia traction.

Eric Denion , Antoine Chambaz , Pierre-Henri Dalens , Jean Petitbon , Max Gérard et al.
Cornea, 2007, 26 (7), pp.769-77. ⟨10.1097/ICO.0b013e31806457b8⟩
Journal articles hal-00262047v1

Causality: a special issue of Journal de la Société Française de Statistique (editorial)

Antoine Chambaz , David Benkeser , Mark J. van Der Laan
Journal de la Société Française de Statistique, 2020, 161 (1), pp.1-3
Journal articles hal-02886213v1

Prediction of an acute hypotensive episode during an ICU hospitalization with a super learner machine learning algorithm

Ményssa Cherifa , Alice Blet , Antoine Chambaz , Etienne Gayat , Matthieu Resche-Rigon et al.
Anesthesia & Analgesia, In press, 130 (5), pp.1157-1166. ⟨10.1213/ANE.0000000000004539⟩
Journal articles hal-02342930v1

Testing the order of a model

Antoine Chambaz
Annals of Statistics, 2006, 34 (3), pp.1166-1203
Journal articles hal-00143665v1
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Asymptotically Optimal Algorithms for Budgeted Multiple Play Bandits

Alexander Luedtke , Emilie Kaufmann , Antoine Chambaz
Machine Learning, 2019, 108 (11), pp.1919-1949. ⟨10.1007/s10994-019-05799-x⟩
Journal articles hal-01338733v3

Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning

Aurélien Bibaut , Nathan Kallus , Maria Dimakopoulou , Antoine Chambaz , Mark van der Laan et al.
34, pp.19261-19273, 2021, Advances in Neural Information Processing Systems
Proceedings hal-03935927v1
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Simple Sorting Criteria Help Find the Causal Order in Additive Noise Models

Alexander G. Reisach , Myriam Tami , Christof Seiler , Antoine Chambaz , Sebastian Weichwald et al.
2023
Preprints, Working Papers, ... hal-04056341v1
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One-step ahead sequential Super Learning from short times series of many slightly dependent data, and anticipating the cost of natural disasters

Geoffrey Ecoto , Aurélien F Bibaut , Antoine Chambaz
2021
Preprints, Working Papers, ... hal-03300559v1
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Survey sampling targeted inference

Antoine Chambaz , Emilien Joly , Xavier Mary
2016
Preprints, Working Papers, ... hal-01359219v1
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Number of hidden states and memory: a joint order estimation problem for Markov chains with Markov regime

Antoine Chambaz , Catherine Matias
ESAIM: Probability and Statistics, 2009, 13, pp.38-50. ⟨10.1051/ps:2007048⟩
Journal articles hal-00262066v1

Online targeted learning for time series

Mark J van Der Laan , Antoine Chambaz , Sam Lendle
Targeted Learning in Data Science, Springer International Publishing, pp.317-346, 2018, Springer Series in Statistics, ⟨10.1007/978-3-319-65304-4_19⟩
Book sections hal-01487574v1