| On the marginal likelihood and cross-validation E Fong, CC Holmes Biometrika 107 (2), 489-496, 2020 | 122 | 2020 |
| Scalable nonparametric sampling from multimodal posteriors with the posterior bootstrap E Fong, S Lyddon, C Holmes International Conference on Machine Learning, 1952-1962, 2019 | 39 | 2019 |
| Martingale posterior distributions E Fong, C Holmes, SG Walker Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 37 | 2023 |
| Conformal Bayesian computation E Fong, CC Holmes Advances in Neural Information Processing Systems 34, 18268-18279, 2021 | 15 | 2021 |
| A predictive approach to Bayesian nonparametric survival analysis E Fong, B Lehmann Proceedings of The 25th International Conference on Artificial Intelligence …, 2022 | 7 | 2022 |
| Occurrence of Gastrointestinal Adverse Events Upon GLP-1 Receptor Agonist Initiation With Concomitant Metformin Use: A Post Hoc Analysis of LEADER, STEP 2, SUSTAIN-6, and PIONEER 6 KR Klein, KKB Clemmensen, E Fong, S Olsen, T Abrahamsen, I Lingvay Diabetes care 47 (2), 280-284, 2024 | 2 | 2024 |
| Martingale Posterior Neural Processes H Lee, E Yun, G Nam, E Fong, J Lee The Eleventh International Conference on Learning Representations, 2023 | 2 | 2023 |
| Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates S Ghalebikesabi, CC Holmes, E Fong, B Lehmann Uncertainty in Artificial Intelligence, 658-668, 2023 | 1 | 2023 |
| Causal predictive inference and target trial emulation A Yiu, E Fong, S Walker, C Holmes arXiv preprint arXiv:2207.12479, 2022 | 1 | 2022 |
| Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling H Lee, G Nam, E Fong, J Lee arXiv preprint arXiv:2403.07282, 2024 | | 2024 |
| concrete: Targeted Estimation of Survival and Competing Risks in Continuous Time D Chen, HCW Rytgaard, ECH Fong, JM Tarp, ML Petersen, ... arXiv preprint arXiv:2310.19197, 2023 | | 2023 |
| Semiparametric posterior corrections A Yiu, E Fong, C Holmes, J Rousseau arXiv preprint arXiv:2306.06059, 2023 | | 2023 |
| A Causal Roadmap for Hybrid Randomized and Real-World Data Designs: Case Study of Semaglutide and Cardiovascular Outcomes LE Dang, E Fong, JM Tarp, KKB Clemmensen, H Ravn, K Kvist, JB Buse, ... arXiv preprint arXiv:2305.07647, 2023 | | 2023 |
| Case study of semaglutide and cardiovascular outcomes: An application of the Causal Roadmap to a hybrid design for augmenting an RCT control arm with real-world data LE Dang, E Fong, JM Tarp, KKB Clemmensen, H Ravn, K Kvist, JB Buse, ... Journal of Clinical and Translational Science 7 (1), e231, 2023 | | 2023 |
| Multimodal deep transfer learning for the analysis of optical coherence tomography scans and retinal fundus photographs Z Tsangalidou, E Fong, JV Sundgaard, TJ Abrahamsen, K Kvist NeurIPS 2022 Workshop on Learning Meaningful Representations of Life, 2022 | | 2022 |
| The predictive view of Bayesian inference CHE Fong University of Oxford, 2021 | | 2021 |
| Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium S Hegselmann, H Zhou, Y Zhou, J Chien, S Nagaraj, N Hulkund, S Bhave, ... | | |
