Riemannian Distances between Covariance Operators and Gaussian Processes

Functional and High-Dimensional Statistics and Related Fields - Contributions to Statistics ◽

10.1007/978-3-030-47756-1_24 ◽

2020 ◽

pp. 177-185

Author(s):

Minh Hà Quang

Keyword(s):

Gaussian Processes ◽

Covariance Operators

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Finite Sample Approximations of Exact and Entropic Wasserstein Distances Between Covariance Operators and Gaussian Processes

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/21m1410488 ◽

2022 ◽

Vol 10 (1) ◽

pp. 96-124

Author(s):

Hà Quang Minh

Keyword(s):

Gaussian Processes ◽

Finite Sample ◽

Covariance Operators ◽

Wasserstein Distances

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Continuous factorizations of covariance operators and Gaussian processes

Studia Mathematica ◽

10.4064/sm-85-1-91-106 ◽

1987 ◽

Vol 85 (1) ◽

pp. 91-106 ◽

Author(s):

G. Little ◽

E. Dettweiler

Keyword(s):

Gaussian Processes ◽

Covariance Operators

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Procrustes Metrics on Covariance Operators and Optimal Transportation of Gaussian Processes

Sankhya A ◽

10.1007/s13171-018-0130-1 ◽

2018 ◽

Vol 81 (1) ◽

pp. 172-213 ◽

Author(s):

Valentina Masarotto ◽

Victor M. Panaretos ◽

Yoav Zemel

Keyword(s):

Gaussian Processes ◽

Optimal Transportation ◽

Covariance Operators

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Markov Processes, Gaussian Processes, and Local Times

10.1017/cbo9780511617997 ◽

2006 ◽

Author(s):

Michael B. Marcus ◽

Jay Rosen

Keyword(s):

Markov Processes ◽

Gaussian Processes ◽

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Constrained Clustering using Gaussian Processes

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287331 ◽

2021 ◽

Author(s):

Panagiotis A. Traganitis ◽

Georgios B. Giannakis

Keyword(s):

Gaussian Processes ◽

Constrained Clustering

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Shape and Topology Optimization in Computational Fluid Dynamics Including Heat Transfer Using Gaussian Processes and Adjoint Methods

AIAA Scitech 2021 Forum ◽

10.2514/6.2021-1892 ◽

2021 ◽

Author(s):

Robert Sandboge ◽

Dimitrios Papadimitriou ◽

Mahender Reddy

Keyword(s):

Heat Transfer ◽

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Topology Optimization ◽

Gaussian Processes ◽

Adjoint Methods ◽

Shape And Topology Optimization ◽

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Gaussian Processes for Natural Language Processing

10.3115/v1/p14-6001 ◽

2014 ◽

Author(s):

Trevor Cohn ◽

Daniel Preotiuc-Pietro ◽

Neil Lawrence

Keyword(s):

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Gaussian Processes

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Faculty Opinions recommendation of Navigating the protein fitness landscape with Gaussian processes.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.718090524.793482948 ◽

2013 ◽

Author(s):

Gottfried Otting

Keyword(s):

Gaussian Processes ◽

Fitness Landscape

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Sieves for Gaussian Processes.

10.21236/ada166055 ◽

1985 ◽

Author(s):

Jay H. Beder

Keyword(s):

Gaussian Processes

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Approximate learning curves for Gaussian processes

9th International Conference on Artificial Neural Networks: ICANN '99 ◽

10.1049/cp:19991148 ◽

1999 ◽

Author(s):

P. Sollich

Keyword(s):

Gaussian Processes ◽

Learning Curves

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