Rina Dechter

Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

Computing the partition function of a graphical model is a fundamental task in probabilistic inference. Variational bounds and Monte Carlo methods, two important approximate paradigms for this task, each has its respective strengths for solving …