2 citations · 2 across the 4 of their papers we have counts for
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cs.LG2018
Multi-Output Convolution Spectral Mixture for Gaussian Processes
Kai Chen, Twan van Laarhoven, Perry Groot +2
Multi-output Gaussian processes (MOGPs) are an extension of Gaussian Processes (GPs) for predicting multiple output variables (also called channels, tasks) simultaneously. In this…
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…