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Antoine Chambaz
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2020 – today
- 2024
- [c7]Pan Zhao, Antoine Chambaz, Julie Josse, Shu Yang:
Positivity-free Policy Learning with Observational Data. AISTATS 2024: 1918-1926 - 2023
- [c6]Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald:
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models. NeurIPS 2023 - [i8]Alexander G. Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz
, Sebastian Weichwald:
Simple Sorting Criteria Help Find the Causal Order in Additive Noise Models. CoRR abs/2303.18211 (2023) - [i7]Pan Zhao, Antoine Chambaz, Julie Josse, Shu Yang:
Positivity-free Policy Learning with Observational Data. CoRR abs/2310.06969 (2023) - 2021
- [c5]Antoine Chambaz:
Targeted Machine Learning: how we can use machine learning for causal inference. EGC 2021: 1-2 - [c4]Aurélien Bibaut, Nathan Kallus, Maria Dimakopoulou, Antoine Chambaz, Mark J. van der Laan:
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. NeurIPS 2021: 19261-19273 - [c3]Aurélien Bibaut, Maria Dimakopoulou, Nathan Kallus, Antoine Chambaz, Mark J. van der Laan:
Post-Contextual-Bandit Inference. NeurIPS 2021: 28548-28559 - [i6]Aurélien Bibaut, Antoine Chambaz
Post-Contextual-Bandit Inference. CoRR abs/2106.00418 (2021) - [i5]Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark J. van der Laan:
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. CoRR abs/2106.01723 (2021) - [i4]Ivana Malenica, Rachael V. Phillips, Romain Pirracchio, Antoine Chambaz, Alan E. Hubbard, Mark J. van der Laan:
Personalized Online Machine Learning. CoRR abs/2109.10452 (2021) - 2020
- [c2]Aurélien Bibaut, Antoine Chambaz, Mark J. van der Laan:
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits. UAI 2020: 1099-1108 - [i3]Aurélien F. Bibaut, Antoine Chambaz
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits. CoRR abs/2003.02873 (2020) - [i2]Aurélien F. Bibaut, Antoine Chambaz, Mark J. van der Laan:
Rate-adaptive model selection over a collection of black-box contextual bandit algorithms. CoRR abs/2006.03632 (2020)
2010 – 2019
- 2019
- [j2]Alexander Luedtke, Emilie Kaufmann, Antoine Chambaz
Asymptotically optimal algorithms for budgeted multiple play bandits. Mach. Learn. 108(11): 1919-1949 (2019) - 2016
- [i1]Alexander Luedtke, Emilie Kaufmann, Antoine Chambaz
Asymptotically Optimal Algorithms for Multiple Play Bandits with Partial Feedback. CoRR abs/1606.09388 (2016) - 2015
- [j1]Antoine Chambaz
tmle.npvi: targeted, integrative search of associations between DNA copy number and gene expression, accounting for DNA methylation. Bioinform. 31(18): 3054-3056 (2015)
2000 – 2009
- 2006
- [c1]Natalia Grabar, Marie-Christine Jaulent, Antoine Chambaz, Céline Lefebvre, Christian Néri:
Sifting abstracts from Medline and evaluating their relevance to molecular biology. MIE 2006: 111-116
Coauthor Index
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