Jean-Francois Ton

According to our database, Jean-Francois Ton authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation.

Xiaoying Zhang, Jean-Francois Ton, Wei Shen, Hongning Wang, Yang Liu

CoRR, 2024

Dataset Fairness: Achievable Fairness on Your Data With Utility Guarantees.

Muhammad Faaiz Taufiq, Jean-Francois Ton, Yang Liu

CoRR, 2024

Measuring and Reducing LLM Hallucination without Gold-Standard Answers via Expertise-Weighting.

Jiaheng Wei, Yuanshun Yao, Jean-Francois Ton, Hongyi Guo, Andrew Estornell, Yang Liu

CoRR, 2024

Conformal Counterfactual Inference under Hidden Confounding.

Zonghao Chen, Ruocheng Guo, Jean-Francois Ton, Yang Liu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Fair Classifiers that Abstain without Harm.

Tongxin Yin, Jean-Francois Ton, Ruocheng Guo, Yuanshun Yao, Mingyan Liu, Yang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Deep Concept Removal.

Yegor Klochkov, Jean-Francois Ton, Ruocheng Guo, Yang Liu, Hang Li

CoRR, 2023

Invariant Learning via Probability of Sufficient and Necessary Causes.

Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jun Wang

CoRR, 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

CoRR, 2023

Fair Learning to Rank with Distribution-free Risk Control.

Ruocheng Guo, Jean-François Ton, Yang Liu

CoRR, 2023

Rectifying Unfairness in Recommendation Feedback Loop.

Mengyue Yang, Jun Wang, Jean-Francois Ton

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Invariant Learning via Probability of Sufficient and Necessary Causes.

Mengyue Yang, Yonggang Zhang, Zhen Fang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits.

Muhammad Faaiz Taufiq, Arnaud Doucet, Rob Cornish, Jean-Francois Ton

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Conformal Off-Policy Prediction in Contextual Bandits.

Muhammad Faaiz Taufiq, Jean-Francois Ton, Robert Cornish, Yee Whye Teh, Arnaud Doucet

CoRR, 2022

Conformal Off-Policy Prediction in Contextual Bandits.

Muhammad Faaiz Taufiq, Jean-Francois Ton, Rob Cornish, Yee Whye Teh, Arnaud Doucet

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Regularized Training of Nearest Neighbor Language Models.

Jean-Francois Ton, Walter Talbott, Shuangfei Zhai, Joshua M. Susskind

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022

Grassmann Stein Variational Gradient Descent.

Xing Liu, Harrison Zhu, Jean-Francois Ton, George Wynne, Andrew B. Duncan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Towards a Unified Analysis of Random Fourier Features.

Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic

J. Mach. Learn. Res., 2021

BayesIMP: Uncertainty Quantification for Causal Data Fusion.

Siu Lun Chau, Jean-Francois Ton, Javier González, Yee Whye Teh, Dino Sejdinovic

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Pruning at Initialization.

Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet, Yee Whye Teh

Proceedings of the 9th International Conference on Learning Representations, 2021

Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings.

Jean-Francois Ton, Lucian Chan, Yee Whye Teh, Dino Sejdinovic

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Meta Learning for Causal Direction.

Jean-François Ton, Dino Sejdinovic, Kenji Fukumizu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Pruning untrained neural networks: Principles and Analysis.

Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet, Yee Whye Teh

CoRR, 2020

MetaFun: Meta-Learning with Iterative Functional Updates.

Jin Xu, Jean-Francois Ton, Hyunjik Kim, Adam R. Kosiorek, Yee Whye Teh

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Automated Model Selection with Bayesian Quadrature.

Henry Chai, Jean-Francois Ton, Michael A. Osborne, Roman Garnett

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

A Unified Analysis of Random Fourier Features.

Zhu Li, Jean-Francois Ton, Dino Oglic, Dino Sejdinovic

CoRR, 2018