Wenbo Gong
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Research
Experience
Bayesian Inference
Neural structure learning with stochastic differential equations
Jan 1, 2024
Deep end-to-end causal inference
Jan 1, 2024
Rhino: Deep causal temporal relationship learning with history-dependent noise
Jan 1, 2023
Bayesdag: Gradient-based posterior inference for causal discovery
Jan 1, 2023
Simultaneous missing value imputation and structure learning with groups
Jan 1, 2022
Sliced kernelized Stein discrepancy
Jan 1, 2021
Interpreting diffusion score matching using normalizing flow
Jan 1, 2021
Active slices for sliced Stein discrepancy
Jan 1, 2021
Meta-learning for stochastic gradient MCMC
Jan 1, 2019
Icebreaker: Element-wise efficient information acquisition with a Bayesian deep latent Gaussian model
Jan 1, 2019
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