Bayesian Sampling Using Stochastic Gradient Thermostats.

Nan Ding Youhan Fang Ryan Babbush Changyou Chen Robert D. Skeel Hartmut Neven

Published in: NIPS (2014)

Keyphrases

stochastic gradient
markov chain monte carlo
stochastic gradient descent
step size
random sampling
sample size
nearest neighbor classifier
bayesian networks
monte carlo
grassmann manifold
maximum likelihood
posterior probability
bayesian inference
learning algorithm
least squares
posterior distribution