Publications

Bayesdag: Gradient-based posterior inference for causal discovery
Y Annadani * , N Pawlowski , J Jennings , S Bauer , C Zhang , Wenbo Gong *
* Equal contribution (authors marked).
NeurIPS 2023 • 2023
causality approximate bayesian inference
PDF Cite Code Source Document
Simultaneous missing value imputation and structure learning with groups
P Morales-Alvarez , Wenbo Gong , A Lamb , S Woodhead , S Peyton Jones , Et Al.
NeurIPS 2022 • 2022
approximate inference bayesian inference
Cite Code Source Document
Advances in approximate inference: combining VI and MCMC and improving on Stein discrepancy
Wenbo Gong
PhD thesis, University of Cambridge • 2022
PDF Cite Source Document
Sliced kernelized Stein discrepancy
Wenbo Gong , Y Li , JM Hernandez-Lobato
ICLR 2021 • 2021
statistical test approximate inference bayesian inference
PDF Cite Source Document
Interpreting diffusion score matching using normalizing flow
Wenbo Gong * , Y Li *
* Equal contribution (authors marked).
ICML 2021 Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models • 2021
Spotlight generative model approximate inference bayesian inference
PDF Cite Source Document
Active slices for sliced Stein discrepancy
Wenbo Gong , K Zhang , Y Li , JM Hernandez-Lobato
ICML 2021 • 2021
approximate inference Bayesian inference
PDF Cite Code Source Document
Meta-learning for stochastic gradient MCMC
Wenbo Gong * , Y Li * , JM Hernandez-Lobato
* Equal contribution (authors marked).
ICLR 2019 • 2019
approximate inference Sampling bayesian inference
PDF Cite Source Document
Icebreaker: Element-wise efficient information acquisition with a Bayesian deep latent Gaussian model
Wenbo Gong , S Tschiatschek , S Nowozin , RE Turner , JM Hernandez-Lobato , Et Al.
NeurIPS 2019 • 2019
generative model approximate inference bayesian inference active learning
PDF Cite Source Document
Bayesian EDDI: Sequential Variable Selection with Bayesian Partial VAE
C Ma * , Wenbo Gong * , S Tschiatschek , S Nowozin , JM Hernandez-Lobato , Et Al.
* Equal contribution (authors marked).
ICML 2019 Workshop on Real-world Sequential Decision Making • 2019
approximate inference Bayesian inference
PDF Cite Source Document
Partial VAE for hybrid recommender system
C Ma , Wenbo Gong , JM Hernandez-Lobato , N Koenigstein , S Nowozin , Et Al.
NeurIPS 2018 Workshop on Bayesian Deep Learning • 2018
PDF Cite Source Document
Page 2 of 2