Stein variational message passing for continuous graphical models

Abstract

Paper presentation.

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

My research interests lie in the intersection of machine learning (probabilistic modeling, statistical relational learning, neuro-symbolic AI) and formal methods. My research goal is to enable machine learning models to incorporate diverse forms of constraints into probabilistic inference and learning in a principled way.