Antoine Moulin

11 papers A* 2A 1Journal 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs.
CoRR
Santiago Gonzalez, Alireza Amiri Bavandpour, Peter Ye, Edward Zhang, Ruslans Aleksejevs, Todor Antic, Polina Baron, Sujeet Bhalerao, Shubhrajit Bhattacharya, Zachary Burton, John Byrne, Hyungjun Choi, Nujhat Ahmed Disha, Koppány István Encz, Yuchen Fang, Robert Joseph George, Ebrahim Ghorbani, Alan Goldfarb, Jing Guo, Meghal Gupta, Stefano Huber, Annika Kanckos, Minjung Kang, Hyun Jong Kim, Dino Lorenzini, Levi Lorenzo, Tianyi Mao, Giovanni Marzenta, Ariane M. Masuda, Lukas Mauth, Ana Mickovic, Andres Miniguano-Trujillo, Antoine Moulin, Wenqi Ni, Tomos Parry, Kevin Ren, Hossein Roodbarani, Mathieu Rundström, Manjil Saikia, Detchat Samart, Rebecca Steiner, Connor Stewart, Dhara Thakkar, Jeffrey Tse, Vasiliki Velona, Yunhai Xiang, Sibel Yalçin, Jun Yan, Ji Zeng, Arman Cohan, Quanquan C. Liu
2025 J jnl
Demystifying Spectral Feature Learning for Instrumental Variable Regression.
CoRR
Dimitri Meunier, Antoine Moulin, Jakub Wornbard, Vladimir R. Kostic, Arthur Gretton
2025 J jnl
Inverse Q-Learning Done Right: Offline Imitation Learning in Q
CoRR
Antoine Moulin, Gergely Neu, Luca Viano
2025 A* conf
Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning.
COLT
Antoine Moulin, Gergely Neu, Luca Viano
2025 J jnl
Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning.
CoRR
Antoine Moulin, Gergely Neu, Luca Viano
2025 J jnl
Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression.
CoRR
Dimitri Meunier, Jakub Wornbard, Vladimir R. Kostic, Antoine Moulin, Alek Fröhlich, Karim Lounici, Massimiliano Pontil, Arthur Gretton
2025 A conf
Spectral Representation for Causal Estimation with Hidden Confounders.
AISTATS
Haotian Sun, Antoine Moulin, Tongzheng Ren, Arthur Gretton, Bo Dai
2025 J jnl
When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses.
CoRR
Antoine Moulin, Emmanuel Esposito, Dirk van der Hoeven
2024 J jnl
Spectral Representation for Causal Estimation with Hidden Confounders.
CoRR
Tongzheng Ren, Haotian Sun, Antoine Moulin, Arthur Gretton, Bo Dai
2023 A* conf
Optimistic Planning by Regularized Dynamic Programming.
ICML
Antoine Moulin, Gergely Neu
2023 J jnl
Optimistic Planning by Regularized Dynamic Programming.
CoRR
Antoine Moulin, Gergely Neu