174 citations · 970 across the 33 of their papers we have counts for
Showing 2014Show all
3 papers · 1 filter
stat.ML2014★ 3 cited
Sublinear-Time Approximate MCMC Transitions for Probabilistic Programs
Yutian Chen, Vikash Mansinghka, Zoubin Ghahramani
Probabilistic programming languages can simplify the development of machine learning techniques, but only if inference is sufficiently scalable. Unfortunately, Bayesian parameter e…
cs.LG2014★ 3 cited
Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior
Yutian Chen, Max Welling
In recent years a number of methods have been developed for automatically learning the (sparse) connectivity structure of Markov Random Fields. These methods are mostly based on L1…
cs.LG2014★ 126 cited
Variational Gaussian Process State-Space Models
Roger Frigola, Yutian Chen, Carl E. Rasmussen
State-space models have been successfully used for more than fifty years in different areas of science and engineering. We present a procedure for efficient variational Bayesian le…