Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping.
Russell Z. KunesMingzhang YinMax LandDoron HavivDana Pe'erSimon TavaréPublished in: AAAI (2023)
Keyphrases
- gradient estimation
- latent variables
- variance reduction
- probabilistic model
- random variables
- posterior distribution
- real valued
- gaussian process
- latent variable models
- prior knowledge
- monte carlo
- approximate inference
- topic models
- sample size
- structural svms
- hidden variables
- importance sampling
- naive bayes classifier
- observed variables
- feature selection
- information retrieval
- image segmentation
- policy gradient