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Scalable Gaussian Process Inference with Finite-data Mean and Variance
  Guarantees

Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees

26 June 2018
Jonathan H. Huggins
Trevor Campbell
Mikolaj Kasprzak
Tamara Broderick
ArXivPDFHTML

Papers citing "Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees"

4 / 4 papers shown
Title
Bounding Wasserstein distance with couplings
Bounding Wasserstein distance with couplings
N. Biswas
Lester W. Mackey
17
8
0
06 Dec 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process
  Regression
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
Christian Fiedler
C. Scherer
Sebastian Trimpe
GP
19
65
0
06 May 2021
Convergence of Sparse Variational Inference in Gaussian Processes
  Regression
Convergence of Sparse Variational Inference in Gaussian Processes Regression
David R. Burt
C. Rasmussen
Mark van der Wilk
21
69
0
01 Aug 2020
Rates of Convergence for Sparse Variational Gaussian Process Regression
Rates of Convergence for Sparse Variational Gaussian Process Regression
David R. Burt
C. Rasmussen
Mark van der Wilk
19
151
0
08 Mar 2019
1