Jean-Francois Ton

Jean-Francois Ton

University of Oxford

H-index: 10

Europe-United Kingdom

About Jean-Francois Ton

Jean-Francois Ton, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of LLMs, Causal Inference, Explainability.

His recent articles reflect a diverse array of research interests and contributions to the field:

Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation

Dataset Fairness: Achievable Fairness on Your Data With Utility Guarantees

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

Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits

Explaining recommendation systems through contrapositive perturbations

Fair Classifiers that Abstain without Harm

Deep Concept Removal

Invariant Learning via Probability of Sufficient and Necessary Causes

Jean-Francois Ton Information

University

Position

___

Citations(all)

437

Citations(since 2020)

435

Cited By

92

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Jean-Francois Ton Skills & Research Interests

LLMs

Causal Inference

Explainability

Top articles of Jean-Francois Ton

Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation

arXiv preprint arXiv:2403.05171

2024/3/8

Dataset Fairness: Achievable Fairness on Your Data With Utility Guarantees

arXiv preprint arXiv:2402.17106

2024/2/27

Jean-Francois Ton
Jean-Francois Ton

H-Index: 5

Yang Liu
Yang Liu

H-Index: 18

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

arXiv preprint arXiv:2402.10412

2024/2/16

Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits

Advances in Neural Information Processing Systems

2024/2/13

Rob Cornish
Rob Cornish

H-Index: 5

Jean-Francois Ton
Jean-Francois Ton

H-Index: 5

Explaining recommendation systems through contrapositive perturbations

2023/10/13

Fair Classifiers that Abstain without Harm

2024

Deep Concept Removal

arXiv preprint arXiv:2310.05755

2023/10/9

Invariant Learning via Probability of Sufficient and Necessary Causes

Advances in Neural Information Processing Systems

2024/2/13

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

arXiv preprint arXiv:2308.05374

2023/8/10

Rectifying unfairness in recommendation feedback loop

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

2023

Fair Learning to Rank with Distribution-free Risk Control

arXiv preprint arXiv:2306.07188

2023/6/12

Conformal Off-Policy Prediction in Contextual Bandits

Neurips 2022 (Conference on Neural Information Processing Systems)

2022/6/9

Grassmann Stein Variational Gradient Descent

arxiv arXiv:2202.03297

2022/2/8

Causal reasoning and meta learning using kernel mean embeddings

2022

Jean-Francois Ton
Jean-Francois Ton

H-Index: 5

Regularized Training of Nearest Neighbor Language Models

arXiv preprint arXiv:2109.08249

2021/9/16

Jean-Francois Ton
Jean-Francois Ton

H-Index: 5

BayesIMP: Uncertainty Quantification in Causal Data Fusion

2021/6/7

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

2021/4/13

Towards a Unified Analysis of Random Fourier Features

JMLR 2021 (Journal of Machine Learning Research)

2021

Jean-Francois Ton
Jean-Francois Ton

H-Index: 5

Dino Sejdinovic
Dino Sejdinovic

H-Index: 26

Robust pruning at initialization

International Conference on Learning Representations (ICLR 2021)

2021

Metafun: Meta-learning with iterative functional updates

2020/11/21

Jin Xu
Jin Xu

H-Index: 7

Jean-Francois Ton
Jean-Francois Ton

H-Index: 5

Yee Whye Teh
Yee Whye Teh

H-Index: 51

See List of Professors in Jean-Francois Ton University(University of Oxford)

Co-Authors

academic-engine