Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning.
Ruqi ZhangChunyuan LiJianyi ZhangChangyou ChenAndrew Gordon WilsonPublished in: ICLR (2020)
Keyphrases
- deep learning
- stochastic gradient
- posterior distribution
- markov chain monte carlo
- posterior probability
- unsupervised learning
- machine learning
- bayesian inference
- nearest neighbor classifier
- stochastic gradient descent
- markov chain
- monte carlo
- bayesian networks
- generative model
- mental models
- step size
- latent variables
- parameter estimation
- maximum likelihood
- bayesian framework
- weakly supervised
- high dimensional
- maximum a posteriori