Jean-Francois Ton

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Yang LiuComputer Science and Engineering, UC Santa CruzVerified email at ucsc.edu
Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaideVerified email at adelaide.edu.au
Muhammad Faaiz TaufiqPhD Student, University of OxfordVerified email at stats.ox.ac.uk
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Yuanshun (Kevin) YaoMeta GenAIVerified email at meta.com
Arnaud DoucetGoogle DeepMindVerified email at google.com
Xiaoying ZhangBytedance Inc.Verified email at bytedance.com
Hang LiBytedance ResearchVerified email at bytedance.com
Dino OglicAstraZeneca CambridgeVerified email at astrazeneca.com
Zhu Li (Michael)University College LondonVerified email at ucl.ac.uk
Hao ChengHKBUVerified email at comp.hkbu.edu.hk
Soufiane HayouSimons Institute for the Theory of Computing, UC Berkeley | PhD @ University of OxfordVerified email at berkeley.edu
Rob CornishUniversity of OxfordVerified email at robots.ox.ac.uk
Mengyue YangAssistant Professor at University of BristolVerified email at bristol.ac.uk
Adam R. KosiorekSenior Research Scientist, Google DeepMindVerified email at google.com
Hyunjik KimResearch Scientist, DeepMindVerified email at google.com
Jin XuPh.D. Student in Statistics, University of OxfordVerified email at stats.ox.ac.uk
Seth Flaxmanassociate professor at OxfordVerified email at cs.ox.ac.uk
Samir BhattProfessor of Machine Learning and Public Health University of CopenhagenVerified email at sund.ku.dk
Andrew EstornellByteDance ResearchVerified email at wustl.edu

Jean-Francois Ton

ByteDance Research

Verified email at bytedance.com - Homepage

LLMs Causal Inference Explainability


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Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Y Liu, Y Yao, JF Ton, X Zhang, H Cheng, R Guo, Y Klochkov, MF Taufiq, ... arXiv preprint arXiv:2308.05374, 2023	276	2023
Towards a unified analysis of random Fourier features Z Li, JF Ton, D Oglic, D Sejdinovic International conference on machine learning, 3905-3914, 2019	154	2019
Metafun: Meta-learning with iterative functional updates J Xu, JF Ton, H Kim, A Kosiorek, YW Teh ICML 2020 (International Conference on Machine Learning), 10617-10627, 2020	81	2020
Spatial mapping with Gaussian processes and nonstationary Fourier features JF Ton, S Flaxman, D Sejdinovic, S Bhatt Journal of Spatial Statistics 28, 59-78, 2018	67	2018
Robust pruning at initialization S Hayou, JF Ton, A Doucet, YW Teh ICLR 2021 (International Conference on Learning Representations), 2021	66*	2021
Towards a unified analysis of random fourier features Z Li, JF Ton, D Oglic, D Sejdinovic Journal of Machine Learning Research 22 (108), 1-51, 2021	60	2021
Meta Learning for Causal Direction JF Ton, D Sejdinovic, K Fukumizu AAAI 2021 (Conference on Artificial Intelligence) 35 (11), 9897-9905, 2020	25	2020
BayesIMP: Uncertainty Quantification in Causal Data Fusion SL Chau, JF Ton, J Gonzalez, YW Teh, D Sejdinovic, ... Neurips 2021 (Conference on Neural Information Processing Systems), 2021	21	2021
Conformal Off-Policy Prediction in Contextual Bandits MF Taufiq, JF Ton, R Cornish, YW Teh, A Doucet Neurips 2022 (Conference on Neural Information Processing Systems), 2022	19	2022
Grassmann Stein Variational Gradient Descent X Liu, H Zhu, JF Ton, G Wynne, A Duncan AISTATS 2022 (International Conference on Artificial Intelligence and …, 2022	16	2022
Measuring and reducing llm hallucination without gold-standard answers via expertise-weighting J Wei, Y Yao, JF Ton, H Guo, A Estornell, Y Liu arXiv preprint arXiv:2402.10412, 2024	15	2024
Invariant Learning via Probability of Sufficient and Necessary Causes M Yang, Z Fang, Y Zhang, Y Du, F Liu, JF Ton, J Wang Neurips 2023 (Conference on Neural Information Processing Systems), 2023	15	2023
Automated Model Selection with Bayesian Quadrature H Chai, JF Ton, R Garnett, MA Osborne ICML 2019 (International Conference on Machine Learning) 36 (PMLR 97), 931-940, 2019	14	2019
Noise Contrastive Meta-Learning for Conditional Density Estimation using Kernel Mean Embeddings JF Ton, L Chan, YW Teh, D Sejdinovic AISTATS 2021 (International Conference on Artificial Intelligence and …, 2021	13	2021
Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation X Zhang, JF Ton, W Shen, H Wang, Y Liu Neurips 2024 (Conference on Neural Information Processing Systems), 2024	10	2024
Rectifying unfairness in recommendation feedback loop M Yang, J Wang, JF Ton Proceedings of the 46th international ACM SIGIR Conference on Research and …, 2023	8	2023
Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits MF Taufiq, A Doucet, R Cornish, JF Ton Neurips 2023 (Conference on Neural Information Processing Systems), 2023	4	2023
Fair Classifiers that Abstain without Harm T Yin, JF Ton, R Guo, Y Yao, M Liu, Y Liu ICLR 2024, 2023	4	2023
Conformal Counterfactual Inference under Hidden Confounding Z Chen, R Guo, JF Ton, Y Liu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024	3	2024
Regularized Training of Nearest Neighbor Language Models JF Ton, W Talbott, S Zhai, J Susskind NAACL SRW 2022, 2021	3	2021

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