Probability Functional Descent: A Unifying Perspective on GANs, Variational Inference, and Reinforcement Learning.
Casey ChuJose H. BlanchetPeter W. GlynnPublished in: CoRR (2019)
Keyphrases
- variational inference
- reinforcement learning
- bayesian inference
- gaussian process
- probabilistic model
- mixture model
- probabilistic graphical models
- variational methods
- topic models
- posterior distribution
- latent dirichlet allocation
- probability distribution
- closed form
- exponential family
- state space
- approximate inference
- learning algorithm
- graphical models
- machine learning
- conditional probabilities
- latent variables
- prior information
- text mining
- bayesian networks