5.7k citations · 15.5k across the 75 of their papers we have counts for
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stat.ML2010★ 38 cited
Incorporating Side Information in Probabilistic Matrix Factorization with Gaussian Processes
Ryan Prescott Adams, George E. Dahl, Iain Murray
Probabilistic matrix factorization (PMF) is a powerful method for modeling data associated with pairwise relationships, finding use in collaborative filtering, computational biolog…
stat.ML2010★ 53 cited
Learning the Structure of Deep Sparse Graphical Models
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghahramani
Deep belief networks are a powerful way to model complex probability distributions. However, learning the structure of a belief network, particularly one with hidden units, is diff…