| 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 | 226 | 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 | 151 | 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 | 78 | 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 | 64 | 2018 |
| Robust pruning at initialization S Hayou, JF Ton, A Doucet, YW Teh ICLR 2021 (International Conference on Learning Representations), 2021 | 62* | 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 | 56 | 2021 |
| Meta Learning for Causal Direction JF Ton, D Sejdinovic, K Fukumizu AAAI 2021 (Conference on Artificial Intelligence) 35 (11), 9897-9905, 2020 | 22 | 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 | 15 | 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 | 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 |
| 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 | 12 | 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 | 10 | 2023 |
| 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 | 8 | 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 | 3 | 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 | 3 | 2023 |
| Regularized Training of Nearest Neighbor Language Models JF Ton, W Talbott, S Zhai, J Susskind NAACL SRW 2022, 2021 | 3 | 2021 |
| 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 | 2 | 2024 |
Dino SejdinovicProfessor of Statistical Machine Learning, University of AdelaideVerified email at adelaide.edu.au