Adaptive Inducing Points Selection For Gaussian Processes

21 July 2021

Papers citing "Adaptive Inducing Points Selection For Gaussian Processes"

9 / 9 papers shown

Title
Continual Multi-task Gaussian Processes P. Moreno-Muñoz A. Artés-Rodríguez Mauricio A. Alvarez 52 13 0 31 Oct 2019
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation Théo Galy-Fajou F. Wenzel Christian Donner Manfred Opper 50 30 0 23 May 2019
Rates of Convergence for Sparse Variational Gaussian Process Regression David R. Burt C. Rasmussen Mark van der Wilk 64 155 0 08 Mar 2019
Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation F. Wenzel Théo Galy-Fajou Christian Donner Marius Kloft Manfred Opper 69 36 0 18 Feb 2018
Non-Stationary Spectral Kernels Sami Remes Markus Heinonen Samuel Kaski 63 103 0 24 May 2017
Streaming Sparse Gaussian Process Approximations T. Bui Cuong V Nguyen Richard Turner 55 103 0 19 May 2017
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 68 201 0 21 Nov 2016
Understanding Probabilistic Sparse Gaussian Process Approximations Matthias Bauer Mark van der Wilk C. Rasmussen 54 259 0 15 Jun 2016
Determinantal point processes for machine learning Alex Kulesza B. Taskar 260 1,140 0 25 Jul 2012