Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning.
Ruqi ZhangChunyuan LiJianyi ZhangChangyou ChenAndrew Gordon WilsonPublished in: CoRR (2019)
Keyphrases
- deep learning
- stochastic gradient
- posterior distribution
- markov chain monte carlo
- posterior probability
- unsupervised learning
- bayesian inference
- markov chain
- monte carlo
- stochastic gradient descent
- nearest neighbor classifier
- parameter estimation
- bayesian framework
- maximum likelihood
- machine learning
- weakly supervised
- importance sampling
- generative model
- latent variables
- approximate inference
- step size
- probabilistic model
- graphical models
- bayesian networks
- particle filter
- high dimensional