Edwin Fong

According to our database, Edwin Fong authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling.

Hyungi Lee, Giung Nam, Edwin Fong, Juho Lee

CoRR, 2024

2023

Quasi-Bayesian nonparametric density estimation via autoregressive predictive updates.

Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Martingale Posterior Neural Processes.

Hyungi Lee, Eunggu Yun, Giung Nam, Edwin Fong, Juho Lee

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Density Estimation with Autoregressive Bayesian Predictives.

Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann

CoRR, 2022

A Predictive Approach to Bayesian Nonparametric Survival Analysis.

Edwin Fong, Brieuc Lehmann

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Conformal Bayesian Computation.

Edwin Fong, Chris C. Holmes

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap.

Edwin Fong, Simon Lyddon, Chris C. Holmes

Proceedings of the 36th International Conference on Machine Learning, 2019