Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping.
Russell Z. KunesMingzhang YinMax LandDoron HavivDana Pe'erSimon TavaréPublished in: CoRR (2022)
Keyphrases
- gradient estimation
- latent variables
- variance reduction
- probabilistic model
- random variables
- latent variable models
- posterior distribution
- prior knowledge
- monte carlo
- importance sampling
- approximate inference
- topic models
- sample size
- real valued
- gaussian process
- hidden variables
- structural svms
- observed variables
- decision trees
- generative model
- co occurrence
- knowledge discovery
- binary data
- high dimensional
- training set
- policy gradient
- machine learning