Fong, Edwin

7 publications

ICLR 2024 Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee

ICLR 2023 Martingale Posterior Neural Processes Hyungi Lee, Eunggu Yun, Giung Nam, Edwin Fong, Juho Lee

UAI 2023 Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann

AISTATS 2022 A Predictive Approach to Bayesian Nonparametric Survival Analysis Edwin Fong, Brieuc Lehmann

NeurIPSW 2022 Multimodal Deep Transfer Learning for the Analysis of Optical Coherence Tomography Scans and Retinal Fundus Photographs Zoi Tsangalidou, Edwin Fong, Josefine Vilsbøll Sundgaard, Trine Julie Abrahamsen, Kajsa Kvist

NeurIPS 2021 Conformal Bayesian Computation Edwin Fong, Chris C Holmes

ICML 2019 Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap Edwin Fong, Simon Lyddon, Chris Holmes