Scalable Gaussian Processes for Characterizing Multidimensional Change
Surfaces

Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces

13 November 2015

William Herlands

Seth Flaxman

Daniel B. Neill

Wilbert Van Panhuis

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Papers citing "Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces"

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Title
A Change Dynamic Model for the Online Detection of Gradual Change Chris Browne 42 0 0 02 May 2022
Non-smooth Bayesian Optimization in Tuning Problems Hengrui Luo J. Demmel Younghyun Cho Xin Li Yang Liu 70 13 0 15 Sep 2021
Gaussian Processes with Skewed Laplace Spectral Mixture Kernels for Long-term Forecasting Kai Chen Twan van Laarhoven E. Marchiori AI4TS 81 8 0 08 Nov 2020
Differentially Private Regression and Classification with Sparse Gaussian Processes M. Smith Mauricio A. Alvarez Neil D. Lawrence 44 3 0 19 Sep 2019
Compressible Spectral Mixture Kernels with Sparse Dependency Structures for Gaussian Processes Kai Chen Yijue Dai Feng Yin Shuguang Cui Sergios Theodoridis 53 3 0 01 Aug 2018
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection Jeremias Knoblauch Theodoros Damoulas 86 40 0 14 May 2018
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data William Herlands E. McFowland A. Wilson Daniel B. Neill AI4TS 40 17 0 04 Apr 2018
Product Kernel Interpolation for Scalable Gaussian Processes Jacob R. Gardner Geoff Pleiss Ruihan Wu Kilian Q. Weinberger A. Wilson 80 74 0 24 Feb 2018
Scalable Log Determinants for Gaussian Process Kernel Learning Kun Dong David Eriksson H. Nickisch D. Bindel A. Wilson 69 95 0 09 Nov 2017
Differentially Private Gaussian Processes M. Smith Max Zwiessele Neil D. Lawrence 143 15 0 02 Jun 2016