Antoine Moulin

According to our database, Antoine Moulin authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs.

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

CoRR, February, 2026

2025

Outcome-Aware Spectral Feature Learning for Instrumental Variable Regression.

Dimitri Meunier, Jakub Wornbard, Vladimir R. Kostic, Antoine Moulin, Alek Fröhlich, Karim Lounici, Massimiliano Pontil, Arthur Gretton

CoRR, December, 2025

Demystifying Spectral Feature Learning for Instrumental Variable Regression.

Dimitri Meunier, Antoine Moulin, Jakub Wornbard, Vladimir R. Kostic, Arthur Gretton

CoRR, June, 2025

Inverse Q-Learning Done Right: Offline Imitation Learning in Q^π-Realizable MDPs.

Antoine Moulin, Gergely Neu, Luca Viano

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

When Lower-Order Terms Dominate: Adaptive Expert Algorithms for Heavy-Tailed Losses.

Antoine Moulin, Emmanuel Esposito, Dirk van der Hoeven

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Optimistically Optimistic Exploration for Provably Efficient Infinite-Horizon Reinforcement and Imitation Learning.

Antoine Moulin, Gergely Neu, Luca Viano

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

Spectral Representation for Causal Estimation with Hidden Confounders.

Haotian Sun, Antoine Moulin, Tongzheng Ren, Arthur Gretton, Bo Dai

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2023

Optimistic Planning by Regularized Dynamic Programming.

Antoine Moulin, Gergely Neu

Proceedings of the International Conference on Machine Learning, 2023