92 citations · 110 across the 3 of their papers we have counts for
3 papers
cs.LG2014★ 18 cited
Accurate and Conservative Estimates of MRF Log-likelihood using Reverse Annealing
Yuri Burda, Roger B. Grosse, Ruslan Salakhutdinov
Markov random fields (MRFs) are difficult to evaluate as generative models because computing the test log-probabilities requires the intractable partition function. Annealed import…
cs.SE2014
Testing MCMC code
Roger B. Grosse, David K. Duvenaud
Markov Chain Monte Carlo (MCMC) algorithms are a workhorse of probabilistic modeling and inference, but are difficult to debug, and are prone to silent failure if implemented naive…
cs.LG2012★ 92 cited
Shift-Invariance Sparse Coding for Audio Classification
Roger Grosse, Rajat Raina, Helen Kwong +1
Sparse coding is an unsupervised learning algorithm that learns a succinct high-level representation of the inputs given only unlabeled data; it represents each input as a sparse l…