πVAE: a stochastic process prior for Bayesian deep learning with MCMC.
Swapnil MishraSeth FlaxmanTresnia BerahHarrison ZhuMikko PakkanenSamir BhattPublished in: Stat. Comput. (2022)
Keyphrases
- stochastic process
- deep learning
- markov chain
- markov chain monte carlo
- posterior distribution
- stochastic processes
- probability distribution
- unsupervised learning
- posterior probability
- machine learning
- stochastic model
- state space
- maximum a posteriori
- bayesian inference
- bayesian networks
- mental models
- bayesian framework
- latent variables
- probabilistic inference
- maximum likelihood
- hyperparameters
- higher order
- diffusion process
- text mining
- weakly supervised
- denoising
- object detection
- prior knowledge
- reinforcement learning