generalized stochastic approximation;stochastic gradient Markov chain Monte Carlo;adaptive algorithm;EM algorithm;convolutional neural networks;Bayesian inference;sparse prior;spike and slab prior;local trap
Bayesian Deep Learning via Stochastic Gradient MCMC with a Stochastic Approximation Adaptation