Stein variational message passing for continuous graphical models


Paper presentation.

Jul 12, 2018 5:50 AM — 6:00 AM
Stockholmsmässan, Stockholm
Zhe Zeng
Zhe Zeng
Ph.D. student in AI

My research goal is to enable machine learning models to incorporate diverse forms of constraints into probabilistic inference and learning in a principled way, by combining machine learning (probabilistic modeling, neuro-symbolic AI, Bayesian deep learning) and formal methods.