334 citations · 2.2k across the 37 of their papers we have counts for
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Slice sampling covariance hyperparameters of latent Gaussian models
Iain Murray, Ryan Prescott Adams
The Gaussian process (GP) is a popular way to specify dependencies between random variables in a probabilistic model. In the Bayesian framework the covariance structure can be spec…
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…
Elliptical slice sampling
Iain Murray, Ryan Prescott Adams, David J. C. MacKay
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mon…