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Jean-Francois Ton
Jean-Francois Ton
ByteDance Research
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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
2852023
Towards a unified analysis of random Fourier features
Z Li, JF Ton, D Oglic, D Sejdinovic
International conference on machine learning, 3905-3914, 2019
1542019
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
812020
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
672018
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
602021
Meta Learning for Causal Direction
JF Ton, D Sejdinovic, K Fukumizu
AAAI 2021 (Conference on Artificial Intelligence) 35 (11), 9897-9905, 2020
252020
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
212021
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
192022
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
162023
Grassmann Stein Variational Gradient Descent
X Liu, H Zhu, JF Ton, G Wynne, A Duncan
AISTATS 2022 (International Conference on Artificial Intelligence and …, 2022
162022
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
152024
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
142019
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
132021
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
122024
Rectifying unfairness in recommendation feedback loop
M Yang, J Wang, JF Ton
Proceedings of the 46th international ACM SIGIR Conference on Research and …, 2023
82023
Rethinking Bradley-Terry Models in Preference-Based Reward Modeling: Foundations, Theory, and Alternatives
H Sun, Y Shen, JF Ton
ICLR 2025, 2024
42024
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
42023
Fair Classifiers that Abstain without Harm
T Yin, JF Ton, R Guo, Y Yao, M Liu, Y Liu
ICLR 2024, 2023
42023
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
32024
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Artikler 1–20