Chained Gaussian Processes

Chained Gaussian Processes

18 April 2016

Neil D. Lawrence

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Papers citing "Chained Gaussian Processes"

18 / 18 papers shown

Title
Refined climatologies of future precipitation over High Mountain Asia using probabilistic ensemble learning K. Tazi Sun Woo P. Kim Marc Girona-Mata R. Turner AI4Cl 118 0 0 01 Jul 2025
Non-Parametric Modeling of Spatio-Temporal Human Activity Based on Mobile Robot Observations Marvin Stuede Moritz Schappler 31 3 0 14 Mar 2022
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees William J. Wilkinson Simo Särkkä Arno Solin BDL 87 16 0 02 Nov 2021
Modular Gaussian Processes for Transfer Learning P. Moreno-Muñoz Antonio Artés-Rodríguez Mauricio A. Alvarez 41 4 0 26 Oct 2021
Detecting Label Noise via Leave-One-Out Cross-Validation Yu-Hang Tang Yuanran Zhu W. A. Jong 36 3 0 21 Mar 2021
A Tutorial on Sparse Gaussian Processes and Variational Inference Felix Leibfried Vincent Dutordoir S. T. John N. Durrande GP 127 51 0 27 Dec 2020
Generalized Multi-Output Gaussian Process Censored Regression Daniele Gammelli Kasper Pryds Rolsted Dario Pacino Filipe Rodrigues 43 14 0 10 Sep 2020
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes Seokhyun Chung Raed Al Kontar Zhenke Wu 30 5 0 19 Feb 2020
Bayesian Quantile and Expectile Optimisation Victor Picheny Henry B. Moss Léonard Torossian N. Durrande 62 21 0 12 Jan 2020
Continual Multi-task Gaussian Processes P. Moreno-Muñoz A. Artés-Rodríguez Mauricio A. Alvarez 74 13 0 31 Oct 2019
Multi-task Learning for Aggregated Data using Gaussian Processes F. Yousefi M. Smith Mauricio A. Alvarez FedML 53 34 0 22 Jun 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions Tim Pearce Russell Tsuchida Mohamed H. Zaki Alexandra Brintrup A. Neely BDL 72 50 0 15 May 2019
Functional Principal Component Analysis for Extrapolating Multi-stream Longitudinal Data Seokhyun Chung Raed Al Kontar 113 9 0 09 Mar 2019
Scalable GAM using sparse variational Gaussian processes Vincent Adam N. Durrande S. T. John 33 2 0 28 Dec 2018
Non-linear process convolutions for multi-output Gaussian processes Mauricio A. Alvarez W. Ward Cristian Guarnizo Lemus 75 22 0 10 Oct 2018
Heterogeneous Multi-output Gaussian Process Prediction P. Moreno-Muñoz Antonio Artés-Rodríguez Mauricio A. Alvarez 66 72 0 19 May 2018
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction Hossein Soleimani J. Hensman Suchi Saria 81 60 0 16 Aug 2017
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation T. Bui Josiah Yan Richard Turner 89 25 0 23 May 2016