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08/24/2023
Low-count Time Series Anomaly Detection
Low-count time series describe sparse or intermittent events, which are ...
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03/18/2019
Deep Gaussian Processes for Multi-fidelity Modeling
Multi-fidelity methods are prominently used when cheaply-obtained, but p...
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04/24/2017
Entropic Trace Estimates for Log Determinants
The scalable calculation of matrix determinants has been a bottleneck to...
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04/05/2017
Bayesian Inference of Log Determinants
The log-determinant of a kernel matrix appears in a variety of machine l...
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10/18/2016
AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models
We investigate the capabilities and limitations of Gaussian process mode...
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10/14/2016
Random Feature Expansions for Deep Gaussian Processes
The composition of multiple Gaussian Processes as a Deep Gaussian Proces...
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02/22/2016