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2020 – today
- 2025
[c3]Haotian Sun, Antoine Moulin, Tongzheng Ren, Arthur Gretton, Bo Dai:
Spectral Representation for Causal Estimation with Hidden Confounders. AISTATS 2025: 2719-2727- [c2]Antoine Moulin, Gergely Neu, Luca Viano:
Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning. COLT 2025: 4203-4270 - [i7]Antoine Moulin, Gergely Neu, Luca Viano:
Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning. CoRR abs/2502.13900 (2025) - [i6]Antoine Moulin, Gergely Neu, Luca Viano:
Inverse Q-Learning Done Right: Offline Imitation Learning in Qπ-Realizable MDPs. CoRR abs/2505.19946 (2025) - [i5]Antoine Moulin, Emmanuel Esposito, Dirk van der Hoeven:
When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses. CoRR abs/2506.01722 (2025) - [i4]Dimitri Meunier, Antoine Moulin, Jakub Wornbard, Vladimir R. Kostic
, Arthur Gretton:
Demystifying Spectral Feature Learning for Instrumental Variable Regression. CoRR abs/2506.10899 (2025) - [i3]Dimitri Meunier, Jakub Wornbard, Vladimir R. Kostic, Antoine Moulin, Alek Fröhlich, Karim Lounici, Massimiliano Pontil, Arthur Gretton:
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression. CoRR abs/2512.00919 (2025) - 2024
- [i2]Tongzheng Ren, Haotian Sun, Antoine Moulin, Arthur Gretton, Bo Dai:
Spectral Representation for Causal Estimation with Hidden Confounders. CoRR abs/2407.10448 (2024) - 2023
- [c1]Antoine Moulin, Gergely Neu:
Optimistic Planning by Regularized Dynamic Programming. ICML 2023: 25337-25357 - [i1]Antoine Moulin, Gergely Neu:
Optimistic Planning by Regularized Dynamic Programming. CoRR abs/2302.14004 (2023)
Coauthor Index
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