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Fast Gaussian Process Regression for Big Data
17 September 2015
Sourish Das
Sasanka Roy
R. Sambasivan
GP
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Papers citing
"Fast Gaussian Process Regression for Big Data"
11 / 11 papers shown
Title
A Statistical Machine Learning Approach to Yield Curve Forecasting
R. Sambasivan
Sourish Das
AI4TS
31
22
0
04 Mar 2017
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
809
38,961
0
09 Mar 2016
Distributed Gaussian Processes
M. Deisenroth
Jun Wei Ng
GP
73
341
0
10 Feb 2015
Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions
Yanshuai Cao
David J. Fleet
44
186
0
28 Oct 2014
Minimax-optimal nonparametric regression in high dimensions
Yun Yang
S. Tokdar
78
93
0
28 Jan 2014
Gaussian Processes for Big Data
J. Hensman
Nicolò Fusi
Neil D. Lawrence
GP
107
1,235
0
26 Sep 2013
Bayesian Manifold Regression
Yun Yang
David B. Dunson
66
79
0
03 May 2013
Local Gaussian process approximation for large computer experiments
R. Gramacy
D. Apley
262
395
0
02 Mar 2013
Gaussian Process Kernels for Pattern Discovery and Extrapolation
A. Wilson
Ryan P. Adams
GP
75
609
0
18 Feb 2013
The Big Data Bootstrap
Ariel Kleiner
Ameet Talwalkar
Purnamrita Sarkar
Michael I. Jordan
133
150
0
27 Jun 2012
Adaptive Bayesian estimation using a Gaussian random field with inverse Gamma bandwidth
Van der Vaart
V. Zanten
117
254
0
25 Aug 2009
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