| 2025 | ICLR | Rethinking Reward Modeling in Preference-based Large Language Model Alignment. | Hao Sun, Yunyi Shen, Jean-Francois Ton |
| 2025 | ICLR | ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration. | Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu |
| 2025 | ICML | Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment. | Yunyi Shen, Hao Sun, Jean-Francois Ton |
| 2025 | ICML | Understanding Chain-of-Thought in LLMs through Information Theory. | Jean-Francois Ton, Muhammad Faaiz Taufiq, Yang Liu |
| 2024 | ICLR | Fair Classifiers that Abstain without Harm. | Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu |
| 2024 | KDD | Conformal Counterfactual Inference under Hidden Confounding. | Zonghao Chen, Ruocheng Guo, Jean-Francois Ton, Yang Liu |
| 2023 | SIGIR | Rectifying Unfairness in Recommendation Feedback Loop. | Mengyue Yang, Jun Wang, Jean-Francois Ton |
| 2022 | AISTATS | Grassmann Stein Variational Gradient Descent. | Xing Liu, Harrison Zhu, Jean-Francois Ton, George Wynne, Andrew B. Duncan |
| 2022 | NAACL | Regularized Training of Nearest Neighbor Language Models. | Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Joshua M. Susskind |
| 2021 | AISTATS | Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings. | Jean-Francois Ton, Lucian Chan, Yee Whye Teh, Dino Sejdinovic |
| 2021 | ICLR | Robust Pruning at Initialization. | Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet, Yee Whye Teh |
| 2020 | ICML | MetaFun: Meta-Learning with Iterative Functional Updates. | Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh |
| 2019 | ICML | Automated Model Selection with Bayesian Quadrature. | Henry Chai, Jean-Francois Ton, Michael A. Osborne, Roman Garnett |
| 2019 | ICML | Towards a Unified Analysis of Random Fourier Features. | Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic |