A Scalable Bayesian Inference Accelerator for Unsupervised Learning.
Glenn G. KoYuji ChaiMarco DonatoPaul N. WhatmoughThierry TambeRob A. RutenbarGu-Yeon WeiDavid BrooksPublished in: Hot Chips Symposium (2020)
Keyphrases
- bayesian inference
- unsupervised learning
- probabilistic model
- prior information
- supervised learning
- hyperparameters
- variational bayes
- weighted model counting
- machine learning
- semi supervised
- expectation maximization
- mixture model
- dimensionality reduction
- statistical inference
- variational inference
- prior distribution
- gibbs sampler
- particle filter
- text classification
- parallel implementation
- model selection
- hierarchical bayesian
- expectation propagation
- bayesian model
- hidden variables
- deep architectures
- training data
- markov chain monte carlo
- message passing
- generative model