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Structure Discovery in Nonparametric Regression through Compositional
  Kernel Search

Structure Discovery in Nonparametric Regression through Compositional Kernel Search

20 February 2013
David Duvenaud
J. Lloyd
Roger C. Grosse
J. Tenenbaum
Zoubin Ghahramani
ArXivPDFHTML

Papers citing "Structure Discovery in Nonparametric Regression through Compositional Kernel Search"

5 / 5 papers shown
Title
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Ege Onur Taga
M. E. Ildiz
Samet Oymak
AI4TS
104
2
0
22 Feb 2025
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
Taiwo A. Adebiyi
Bach Do
Ruda Zhang
152
2
0
29 Oct 2024
Machine Learning of Linear Differential Equations using Gaussian
  Processes
Machine Learning of Linear Differential Equations using Gaussian Processes
M. Raissi
George Karniadakis
51
544
0
10 Jan 2017
Gaussian Process Kernels for Pattern Discovery and Extrapolation
Gaussian Process Kernels for Pattern Discovery and Extrapolation
A. Wilson
Ryan P. Adams
GP
53
604
0
18 Feb 2013
Additive Gaussian Processes
Additive Gaussian Processes
David Duvenaud
H. Nickisch
C. Rasmussen
GP
87
329
0
19 Dec 2011
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