Quasi-Monte Carlo Variational Inference

Understand

Many machine learning problems involve Monte Carlo gradient estimators.

• As a prominent example, we focus on Monte Carlo variational inference (MCVI) in this paper.
• The performance of MCVI crucially depends on the variance of its stochastic gradients.
• We propose variance reduction by means of Quasi-Monte Carlo (QMC) sampling.