Antoine Chambaz

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Sifting abstracts from Medline and evaluating their relevance to molecular biology

Natalia Grabar, Marie-Christine Jaulent, Antoine Chambaz, 2006, MIE.

Christophe Denis, Antoine Chambaz, A. Chambaz, 2012, 1209.6221.

Threshold Regression Models Adapted to Case-Control Studies, and the Risk of Lung Cancer Due to Occupational Exposure to Asbestos in France

Antoine Chambaz, Mark J. van der Laan, Dominique Choudat, 2011 .

Predicting Is Not Explaining: Targeted Learning of the Dative Alternation

Antoine Chambaz, Guillaume Desagulier, A. Chambaz, 2016 .

Asymptotically optimal algorithms for budgeted multiple play bandits

Antoine Chambaz, Emilie Kaufmann, Alex Luedtke, 2016, Machine Learning.

TRIAL DESIGNS THAT SIMULTANEOUSLY OPTIMIZE THE POPULATION ENROLLED AND THE TREATMENT ALLOCATION PROBABILITIES

Antoine Chambaz, Michael Rosenblum, Brandon Luber, 2013 .

Two-stage, adaptive trial designs that modify both the population enrolled and the randomization probabilities

Antoine Chambaz, Brandon Luber, Michael Rosenblum, 2017 .

Rate-adaptive model selection over a collection of black-box contextual bandit algorithms pdf

Antoine Chambaz, Mark J. van der Laan, Aur'elien F. Bibaut, 2020, ArXiv.

tmle.npvi: targeted, integrative search of associations between DNA copy number and gene expression, accounting for DNA methylation

Antoine Chambaz, Pierre Neuvial, 2015, Bioinform..

Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits

Antoine Chambaz, Mark J. van der Laan, Aurélien F. Bibaut, 2020, UAI.

From contextual to global rankings by passive safety of generational classes of light vehicles

Antoine Chambaz, Cyril Chauvel, Zaïd Ouni, 2016 .

Targeted Learning of The Probability of Success of An In Vitro Fertilization Program Controlling for Time-dependent Confounders

Antoine Chambaz, Mark J. van der Laan, Sherri Rose, 2012 .

Targeting a Simple Statistical Bandit Problem

Antoine Chambaz, Mark J. van der Laan, Wenjing Zheng, 2018 .

Survey sampling targeted inference

Antoine Chambaz, Xavier Mary, Emilien Joly, 2016 .

TMLE in Adaptive Group Sequential Covariate-Adjusted RCTs

Antoine Chambaz, Mark J. van der Laan, 2011 .

Contextual ranking by passive safety of generational classes of light vehicles

Christophe Denis, Antoine Chambaz, Cyril Chauvel, 2018 .

Asymptotically Optimal Algorithms for Multiple Play Bandits with Partial Feedback pdf

Antoine Chambaz, Emilie Kaufmann, Alexander Luedtke, 2016, ArXiv.

Scalable collaborative targeted learning for high-dimensional data

Antoine Chambaz, Cheng Ju, Mark J van der Laan, 2017, Statistical methods in medical research.

One-step ahead sequential Super Learning from short times series of many slightly dependent data, and anticipating the cost of natural disasters

Antoine Chambaz, Geoffrey Ecoto, Aur'elien Bibaut, 2021 .

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

Antoine Chambaz, Nathan Kallus, Mark van der Laan, 2021, NeurIPS.

Post-Contextual-Bandit Inference pdf

Antoine Chambaz, Nathan Kallus, Mark van der Laan, 2021, NeurIPS.

Optimal transport-based machine learning to match specific expression patterns in omics data

Antoine Chambaz, Warith Harchaoui, Christian Neri, 2021 .

Personalized Online Machine Learning pdf

Antoine Chambaz, Mark J. van der Laan, Romain Pirracchio, 2021, ArXiv.

Optimal tests of the composite null hypothesis arising in mediation analysis

Antoine Chambaz, Caleb H. Miles, A. Chambaz, 2021, 2107.07575.

Analysis of the effect of occupational exposure to asbestos based on threshold regression modeling of case-control data.

Antoine Chambaz, Mark J van der Laan, Catherine Huber, 2014, Biostatistics.

Causality, a Trialogue

Antoine Chambaz, Isabelle Drouet, Jean-Christophe Thalabard, 2014 .

Targeted Covariate-Adjusted Response-Adaptive LASSO-Based Randomized Controlled Trials

Antoine Chambaz, Mark J. van der Laan, Wenjing Zheng, 2014 .

Detecting abrupt changes in random fields

Antoine Chambaz, A. Chambaz, 2002 .

Drawing Valid Targeted Inference When Covariate-adjusted Response-adaptive RCT Meets Data-adaptive Loss-based Estimation, With An Application To The LASSO

Antoine Chambaz, Mark J. van der Laan, Wenjing Zheng, 2015 .

Practical targeted learning from large data sets by survey sampling

Antoine Chambaz, Patrice Bertail, Emilien Joly, 2016, 1606.09522.

Prediction of an Acute Hypotensive Episode During an ICU Hospitalization With a Super Learner Machine-Learning Algorithm

Antoine Chambaz, Matthieu Resche-Rigon, Romain Pirracchio, 2020, Anesthesia and analgesia.

Nonasymptotic Bounds for Bayesian Order Identification with Application to Mixtures

Judith Rousseau, Antoine Chambaz, J. Rousseau, 2005 .

Testing the order of a model

Antoine Chambaz, A. Chambaz, 2006 .

Estimation of a non-parametric variable importance measure of a continuous exposure.

Antoine Chambaz, Mark J van der Laan, Pierre Neuvial, 2012, Electronic journal of statistics.

A mdl approach to hmm with Poisson and Gaussian emissions. Application to order identification

Aurélien Garivier, Antoine Chambaz, Elisabeth Gassiat, 2005 .

Faster Rates for Policy Learning

Antoine Chambaz, Alexander Luedtke, A. Chambaz, 2017, 1704.06431.