Energy-Inspired Models: Learning with Sampler-Induced Distributions

Dieterich Lawson, George Tucker, Bo Dai +1

Energy-based models (EBMs) are powerful probabilistic models, but suffer from intractable sampling and density evaluation due to the partition function. As a result, inference in E…