Machine Learning · Computer Science
Gaussian Processes for Nonlinear Signal Processing
Fernando Pérez-Cruz, Steven Van Vaerenbergh, Juan José Murillo-Fuentes, Miguel Lázaro-Gredilla +1
2013-09-30
Machine Learning · Computer Science
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations
Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang +2
2014-08-12
Machine Learning · Statistics
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations
Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang +2
2013-05-27
Machine Learning · Statistics
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
David Reeb, Andreas Doerr, Sebastian Gerwinn, Barbara Rakitsch
2019-08-27
Machine Learning · Computer Science
Beyond Intuition, a Framework for Applying GPs to Real-World Data
Kenza Tazi, Jihao Andreas Lin, Ross Viljoen, Alex Gardner +3
2023-07-18
Machine Learning · Computer Science
A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges
Laura Swiler, Mamikon Gulian, Ari Frankel, Cosmin Safta +1
2021-01-07
Machine Learning · Computer Science
Probabilistic Programming with Gaussian Process Memoization
Ulrich Schaechtle, Ben Zinberg, Alexey Radul, Kostas Stathis +1
2016-01-06
Machine Learning · Computer Science
A Tutorial on Sparse Gaussian Processes and Variational Inference
Felix Leibfried, Vincent Dutordoir, ST John, Nicolas Durrande
2022-12-21
Machine Learning · Statistics
Distribution of Gaussian Process Arc Lengths
Justin D. Bewsher, Alessandra Tosi, Michael A. Osborne, Stephen J. Roberts
2017-03-24