Approximate 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

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

Bayesian EDDI: Sequential Variable Selection with Bayesian Partial VAE

Jan 1, 2019