A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression

18 November 2016

Papers citing "A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression"

4 / 4 papers shown

Title
Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs Y. Gal Richard Turner 51 78 0 09 Mar 2015
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena Jie Chen K. H. Low C. Tan Ali Oran Patrick Jaillet John M. Dolan Gaurav Sukhatme 55 64 0 09 Aug 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 107 1,232 0 26 Sep 2013
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations Jie Chen Nannan Cao K. H. Low Ruofei Ouyang C. Tan Patrick Jaillet 68 59 0 24 May 2013