Ton, Jean-Francois

20 publications

ICLR 2025 ACC-Collab: An Actor-Critic Approach to Multi-Agent LLM Collaboration Andrew Estornell, Jean-Francois Ton, Yuanshun Yao, Yang Liu

ICML 2025 Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment Yunyi Shen, Hao Sun, Jean-Francois Ton

ICLR 2025 Rethinking Reward Modeling in Preference-Based Large Language Model Alignment Hao Sun, Yunyi Shen, Jean-Francois Ton

ICML 2025 Understanding Chain-of-Thought in LLMs Through Information Theory Jean-Francois Ton, Muhammad Faaiz Taufiq, Yang Liu

NeurIPS 2024 Achievable Fairness on Your Data with Utility Guarantees Muhammad Faaiz Taufiq, Jean-François Ton, Yang Liu

ICLR 2024 Fair Classifiers That Abstain Without Harm Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu

NeurIPS 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation Xiaoying Zhang, Jean-François Ton, Wei Shen, Hongning Wang, Yang Liu

NeurIPS 2023 Invariant Learning via Probability of Sufficient and Necessary Causes Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang

NeurIPS 2023 Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits Muhammad Faaiz Taufiq, Arnaud Doucet, Rob Cornish, Jean-Francois Ton

NeurIPSW 2023 Trustworthy LLMs: A Survey and Guideline for Evaluating Large Language Models' Alignment Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo, Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, Hang Li

AISTATS 2022 Grassmann Stein Variational Gradient Descent Xing Liu, Harrison Zhu, Jean-Francois Ton, George Wynne, Andrew Duncan

NeurIPS 2022 Conformal Off-Policy Prediction in Contextual Bandits Muhammad Faaiz Taufiq, Jean-Francois Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet

AISTATS 2021 Noise Contrastive Meta-Learning for Conditional Density Estimation Using Kernel Mean Embeddings Jean-Francois Ton, Lucian Chan, Yee Whye Teh, Dino Sejdinovic

NeurIPS 2021 BayesIMP: Uncertainty Quantification for Causal Data Fusion Siu Lun Chau, Jean-Francois Ton, Javier González, Yee W. Teh, Dino Sejdinovic

AAAI 2021 Meta Learning for Causal Direction Jean-François Ton, Dino Sejdinovic, Kenji Fukumizu

ICLR 2021 Robust Pruning at Initialization Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet, Yee Whye Teh

JMLR 2021 Towards a Unified Analysis of Random Fourier Features Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic

ICML 2020 MetaFun: Meta-Learning with Iterative Functional Updates Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam Kosiorek, Yee Whye Teh

ICML 2019 Automated Model Selection with Bayesian Quadrature Henry Chai, Jean-Francois Ton, Michael A. Osborne, Roman Garnett

ICML 2019 Towards a Unified Analysis of Random Fourier Features Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic