Probabilistic Inference with Algebraic Constraints: Theoretical Limits and Practical Approximations

Abstract

Paper presentation.

Date
Dec 10, 2020 7:30 AM — 7:40 AM
Location
Online
Zhe Zeng
Zhe Zeng
Ph.D. student in AI

My research interests lie in the intersection of machine learning (tractable probabilistic modeling, statistical relational learning, graphical models, Bayesian deep learning, kernel and non-parametric methods) and formal methods.