Edwin Fong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Bayesian Nonparametric

Top Venues

Publications

Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling. CoRR (2024)
Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling. ICLR (2024)
Hyungi Lee, Eunggu Yun, Giung Nam, Edwin Fong, Juho Lee
Martingale Posterior Neural Processes. CoRR (2023)
Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann
Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates. UAI (2023)
Hyungi Lee, Eunggu Yun, Giung Nam, Edwin Fong, Juho Lee
Martingale Posterior Neural Processes. ICLR (2023)
Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann
Density Estimation with Autoregressive Bayesian Predictives. CoRR (2022)
Edwin Fong, Brieuc Lehmann
A Predictive Approach to Bayesian Nonparametric Survival Analysis. AISTATS (2022)
Edwin Fong, Chris C. Holmes
Conformal Bayesian Computation. NeurIPS (2021)
Edwin Fong, Simon Lyddon, Christopher C. Holmes
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap. CoRR (2019)
Edwin Fong, Simon Lyddon, Chris C. Holmes
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap. ICML (2019)