44 citations · 68 across the 12 of their papers we have counts for
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cs.LG2021
Bayesian Inference in High-Dimensional Time-Serieswith the Orthogonal Stochastic Linear Mixing Model
Rui Meng, Kristofer Bouchard
Many modern time-series datasets contain large numbers of output response variables sampled for prolonged periods of time. For example, in neuroscience, the activities of 100s-1000…
cs.LG2021★ 1 cited
Stochastic Collapsed Variational Inference for Structured Gaussian Process Regression Network
Rui Meng, Herbie Lee, Kristofer Bouchard
This paper presents an efficient variational inference framework for deriving a family of structured gaussian process regression network (SGPRN) models. The key idea is to incorpor…