Towards a unified analysis of random Fourier features Z Li, JF Ton, D Oglic, D Sejdinovic ICML 2019 (International Conference on Machine Learning 36 (PMLR 97), 3905-3914, 2018 | 139 | 2018 |
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 | 128 | 2023 |
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 | 73 | 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 | 61 | 2018 |
Robust pruning at initialization S Hayou, JF Ton, A Doucet, YW Teh ICLR 2021 (International Conference on Learning Representations), 2021 | 56* | 2021 |
Towards a Unified Analysis of Random Fourier Features Z Li, JF Ton, D Oglic, D Sejdinovic JMLR 2021 (Journal of Machine Learning Research) 22 (108), 1-51, 2021 | 45 | 2021 |
Meta Learning for Causal Direction JF Ton, D Sejdinovic, K Fukumizu AAAI 2021 (Conference on Artificial Intelligence) 35 (11), 9897-9905, 2020 | 17 | 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 | 16 | 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 | 13 | 2022 |
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 | 13 | 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 | 12 | 2021 |
Grassmann Stein Variational Gradient Descent X Liu, H Zhu, JF Ton, G Wynne, A Duncan AISTATS 2022 (International Conference on Artificial Intelligence and …, 2022 | 11 | 2022 |
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 |
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 | 5 | 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 | 5 | 2023 |
Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty Estimation X Zhang*, JF Ton*, W Shen, H Wang, Y Liu arXiv preprint arXiv:2403.05171, 2024 | 4 | 2024 |
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 | 3 | 2023 |
Regularized Training of Nearest Neighbor Language Models JF Ton, W Talbott, S Zhai, J Susskind NAACL SRW 2022, 2021 | 3 | 2021 |
Fair learning to rank with distribution-free risk control R Guo, JF Ton, Y Liu arXiv preprint arXiv:2306.07188, 2023 | 2 | 2023 |
Fair Classifiers that Abstain without Harm T Yin, JF Ton, R Guo, Y Yao, M Liu, Y Liu arXiv preprint arXiv:2310.06205, 2023 | 1 | 2023 |