Antoine Chambaz

21 papers A* 3A 2Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data. Comput. Stat. Geoffrey Ecoto, Aurélien F. Bibaut, Antoine Chambaz
2025	J	`jnl`	Probabilistic prediction of arrivals and hospitalizations in emergency departments in Île-de-France. Int. J. Medical Informatics Herbert Susmann, Antoine Chambaz, Julie Josse, Philippe Aegerter, Mathias Wargon, Emmanuel Bacry
2025	J	`jnl`	Quantile Super Learning for independent and online settings with application to solar power forecasting. Comput. Stat. Data Anal. Herbert Susmann, Antoine Chambaz
2025	J	`jnl`	Transforming Conditional Density Estimation Into a Single Nonparametric Regression Task. CoRR Alexander G. Reisach, Olivier Collier, Alexander Luedtke, Antoine Chambaz
2024	A	`conf`	Positivity-free Policy Learning with Observational Data. AISTATS Pan Zhao, Antoine Chambaz, Julie Josse, Shu Yang
2023	A*	`conf`	A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models. NeurIPS Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald
2023	J	`jnl`	Positivity-free Policy Learning with Observational Data. CoRR Pan Zhao, Antoine Chambaz, Julie Josse, Shu Yang
2023	J	`jnl`	Simple Sorting Criteria Help Find the Causal Order in Additive Noise Models. CoRR Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald
2021	J	`jnl`	Personalized Online Machine Learning. CoRR Ivana Malenica, Rachael V. Phillips, Romain Pirracchio, Antoine Chambaz, Alan E. Hubbard, Mark J. van der Laan
2021	A*	`conf`	Post-Contextual-Bandit Inference. NeurIPS Aurélien Bibaut, Maria Dimakopoulou, Nathan Kallus, Antoine Chambaz, Mark J. van der Laan
2021	J	`jnl`	Post-Contextual-Bandit Inference. CoRR Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark J. van der Laan
2021	A*	`conf`	Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. NeurIPS Aurélien Bibaut, Nathan Kallus, Maria Dimakopoulou, Antoine Chambaz, Mark J. van der Laan
2021	J	`jnl`	Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. CoRR Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark J. van der Laan
2021	—	`conf`	Targeted Machine Learning: how we can use machine learning for causal inference. EGC Antoine Chambaz
2020	A	`conf`	Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits. UAI Aurélien Bibaut, Antoine Chambaz, Mark J. van der Laan
2020	J	`jnl`	Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits. CoRR Aurélien F. Bibaut, Antoine Chambaz, Mark J. van der Laan
2020	J	`jnl`	Rate-adaptive model selection over a collection of black-box contextual bandit algorithms. CoRR Aurélien F. Bibaut, Antoine Chambaz, Mark J. van der Laan
2019	J	`jnl`	Asymptotically optimal algorithms for budgeted multiple play bandits. Mach. Learn. Alexander Luedtke, Emilie Kaufmann, Antoine Chambaz
2016	J	`jnl`	Asymptotically Optimal Algorithms for Multiple Play Bandits with Partial Feedback. CoRR Alexander Luedtke, Emilie Kaufmann, Antoine Chambaz
2015	J	`jnl`	tmle.npvi: targeted, integrative search of associations between DNA copy number and gene expression, accounting for DNA methylation. Bioinform. Antoine Chambaz, Pierre Neuvial
2006	—	`conf`	Sifting abstracts from Medline and evaluating their relevance to molecular biology. MIE Natalia Grabar, Marie-Christine Jaulent, Antoine Chambaz, Céline Lefebvre, Christian Néri