Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs

Guillaume Desjardins, Aaron Courville, Yoshua Bengio

Restricted Boltzmann Machines (RBM) have attracted a lot of attention of late, as one the principle building blocks of deep networks. Training RBMs remains problematic however, bec…