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Parallelizable sparse inverse formulation Gaussian processes (SpInGP)
v1v2v3v4 (latest)

Parallelizable sparse inverse formulation Gaussian processes (SpInGP)

25 October 2016
A. Grigorievskiy
Neil D. Lawrence
Simo Särkkä
ArXiv (abs)PDFHTML

Papers citing "Parallelizable sparse inverse formulation Gaussian processes (SpInGP)"

18 / 18 papers shown
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz
  Preconditioner
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner
Haoyuan Chen
Rui Tuo
239
0
0
01 Aug 2024
Aggregation Models with Optimal Weights for Distributed Gaussian Processes
Aggregation Models with Optimal Weights for Distributed Gaussian Processes
Liam Hebert
Sukhdeep S. Sodhi
273
0
0
01 Aug 2024
Privacy-aware Gaussian Process Regression
Privacy-aware Gaussian Process Regression
Rui Tuo
Haoyuan Chen
R. Bhattacharya
276
1
0
25 May 2023
Correlated Product of Experts for Sparse Gaussian Process Regression
Correlated Product of Experts for Sparse Gaussian Process Regression
Manuel Schürch
Dario Azzimonti
A. Benavoli
Marco Zaffalon
198
14
0
17 Dec 2021
Non-stationary Gaussian process discriminant analysis with variable
  selection for high-dimensional functional data
Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data
Weichang Yu
S. Wade
H. Bondell
Lamiae Azizi
194
6
0
29 Sep 2021
Combining Pseudo-Point and State Space Approximations for Sum-Separable
  Gaussian Processes
Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian ProcessesConference on Uncertainty in Artificial Intelligence (UAI), 2021
Will Tebbutt
Arno Solin
Richard Turner
182
9
0
18 Jun 2021
On MCMC for variationally sparse Gaussian processes: A pseudo-marginal
  approach
On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach
Karla Monterrubio-Gómez
S. Wade
195
2
0
04 Mar 2021
Temporal Gaussian Process Regression in Logarithmic Time
Temporal Gaussian Process Regression in Logarithmic TimeFusion (Fusion), 2021
Adrien Corenflos
Zheng Zhao
Simo Särkkä
262
4
0
19 Feb 2021
Parallel Iterated Extended and Sigma-point Kalman Smoothers
Parallel Iterated Extended and Sigma-point Kalman SmoothersIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
F. Yaghoobi
Adrien Corenflos
Sakira Hassan
Simo Särkkä
151
14
0
31 Jan 2021
Fast Approximate Multi-output Gaussian Processes
Fast Approximate Multi-output Gaussian Processes
V. Joukov
Dana Kulic
138
9
0
22 Aug 2020
Fast Deep Mixtures of Gaussian Process Experts
Fast Deep Mixtures of Gaussian Process ExpertsMachine-mediated learning (ML), 2020
Clement Etienam
K. Law
S. Wade
Vitaly Zankin
376
4
0
11 Jun 2020
Doubly Sparse Variational Gaussian Processes
Doubly Sparse Variational Gaussian ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Vincent Adam
Stefanos Eleftheriadis
N. Durrande
A. Artemev
J. Hensman
211
27
0
15 Jan 2020
Temporal Parallelization of Bayesian Smoothers
Temporal Parallelization of Bayesian SmoothersIEEE Transactions on Automatic Control (IEEE TAC), 2019
Simo Särkkä
Á. F. García-Fernández
373
52
0
30 May 2019
Banded Matrix Operators for Gaussian Markov Models in the Automatic
  Differentiation Era
Banded Matrix Operators for Gaussian Markov Models in the Automatic Differentiation EraInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
N. Durrande
Vincent Adam
L. Bordeaux
Stefanos Eleftheriadis
J. Hensman
285
26
0
26 Feb 2019
State Space Gaussian Processes with Non-Gaussian Likelihood
State Space Gaussian Processes with Non-Gaussian Likelihood
H. Nickisch
Arno Solin
A. Grigorevskiy
GP
312
32
0
13 Feb 2018
Forecasting of commercial sales with large scale Gaussian Processes
Forecasting of commercial sales with large scale Gaussian Processes
Rodrigo Rivera
Evgeny Burnaev
163
21
0
16 Sep 2017
A sparse linear algebra algorithm for fast computation of prediction
  variances with Gaussian Markov random fields
A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields
A. Zammit‐Mangion
J. Rougier
220
8
0
04 Jul 2017
A probabilistic model for the numerical solution of initial value
  problems
A probabilistic model for the numerical solution of initial value problems
Michael Schober
Simo Särkkä
Philipp Hennig
156
93
0
17 Oct 2016
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