Edwin Fong

12 papers A* 4A 2Journal 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Instrumental and Proximal Causal Inference with Gaussian Processes.
CoRR
Yuqi Zhang, Krikamol Muandet, Dino Sejdinovic, Edwin Fong, Siu Lun Chau
2025 J jnl
Learning from Neighbors with PHIBP: Predicting Infectious Disease Dynamics in Data-Sparse Environments.
CoRR
Edwin Fong, Lancelot F. James, Juho Lee
2024 A* conf
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling.
ICLR
Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee
2024 J jnl
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling.
CoRR
Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee
2023 A* conf
Martingale Posterior Neural Processes.
ICLR
Hyungi Lee, EungGu Yun, Giung Nam, Edwin Fong, Juho Lee
2023 J jnl
Martingale Posterior Neural Processes.
CoRR
Hyungi Lee, EungGu Yun, Giung Nam, Edwin Fong, Juho Lee
2023 A conf
Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates.
UAI
Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann
2022 A conf
A Predictive Approach to Bayesian Nonparametric Survival Analysis.
AISTATS
Edwin Fong, Brieuc Lehmann
2022 J jnl
Density Estimation with Autoregressive Bayesian Predictives.
CoRR
Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann
2021 A* conf
Conformal Bayesian Computation.
NeurIPS
Edwin Fong, Chris C. Holmes
2019 A* conf
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap.
ICML
Edwin Fong, Simon Lyddon, Chris C. Holmes
2019 J jnl
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap.
CoRR
Edwin Fong, Simon Lyddon, Christopher C. Holmes