Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation Justin Domke 1 and Daniel Sheldon 1, 2
–Neural Information Processing Systems
Recent work in variational inference (VI) uses ideas from Monte Carlo estimation to tighten the lower bounds on the log-likelihood that are used as objectives.
Neural Information Processing Systems
Oct-3-2025, 02:57:05 GMT