117 citations · 407 across the 7 of their papers we have counts for
3 papers · 1 filter
Markov Chain Truncation for Doubly-Intractable Inference
Colin Wei, Iain Murray
Computing partition functions, the normalizing constants of probability distributions, is often hard. Variants of importance sampling give unbiased estimates of a normalizer Z, how…
A Framework for Evaluating Approximation Methods for Gaussian Process Regression
Krzysztof Chalupka, Christopher K. I. Williams, Iain Murray
Gaussian process (GP) predictors are an important component of many Bayesian approaches to machine learning. However, even a straightforward implementation of Gaussian process regr…
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…