528 citations · 4.4k across the 100 of their papers we have counts for
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stat.ML2015★ 14 cited
Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces
William Herlands, Andrew Wilson, Hannes Nickisch +4
We present a scalable Gaussian process model for identifying and characterizing smooth multidimensional changepoints, and automatically learning changes in expressive covariance st…
stat.ML2015★ 39 cited
Bayesian Nonparametric Kernel-Learning
Junier Oliva, Avinava Dubey, Andrew G. Wilson +3
Kernel methods are ubiquitous tools in machine learning. However, there is often little reason for the common practice of selecting a kernel a priori. Even if a universal approxima…