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20182022
most citedRethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling

116 citations · 140 across the 10 of their papers we have counts for

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Showing 2018Show all

2 papers · 1 filter

cs.LG2018

Multitask Gaussian Process with Hierarchical Latent Interactions

Kai Chen, Twan van Laarhoven, Elena Marchiori +2

Multitask Gaussian process (MTGP) is powerful for joint learning of multiple tasks with complicated correlation patterns. However, due to the assembling of additive independent lat…

cs.LG2018

Compressible Spectral Mixture Kernels with Sparse Dependency Structures for Gaussian Processes

Kai Chen, Yijue Dai, Feng Yin +2

Spectral mixture (SM) kernels comprise a powerful class of generalized kernels for Gaussian processes (GPs) to describe complex patterns. This paper introduces model compression an…