Gaussian Process Regression with a Student-t Likelihood

22 June 2011

Papers citing "Gaussian Process Regression with a Student-t Likelihood"

19 / 19 papers shown

Title
Robust and Conjugate Gaussian Process Regression Matias Altamirano F. Briol Jeremias Knoblauch 26 10 0 01 Nov 2023
Towards Improved Learning in Gaussian Processes: The Best of Two Worlds Rui Li S. T. John Arno Solin BDL GP 22 0 0 11 Nov 2022
A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching Arno Solin Ruixiao Li Andrea Pilzer 13 1 0 27 May 2022
A piece-wise constant approximation for non-conjugate Gaussian Process models Sarem Seitz 14 0 0 22 Apr 2022
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers Deebul Nair Nico Hochgeschwender Miguel A. Olivares-Mendez OOD 30 7 0 03 Feb 2022
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees William J. Wilkinson Simo Särkkä Arno Solin BDL 21 15 0 02 Nov 2021
Fast Scalable Image Restoration using Total Variation Priors and Expectation Propagation D. Yao S. Mclaughlin Y. Altmann 13 6 0 04 Oct 2021
Transforming Gaussian Processes With Normalizing Flows Juan Maroñas Oliver Hamelijnck Jeremias Knoblauch Theodoros Damoulas 23 34 0 03 Nov 2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao Aki Vehtari Andrew Gelman 29 60 0 22 Jun 2020
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models Théo Galy-Fajou F. Wenzel Manfred Opper 26 4 0 26 Feb 2020
Robust Gaussian Process Regression with a Bias Model Chiwoo Park David J. Borth Nicholas S. Wilson Chad N. Hunter F. Friedersdorf 23 27 0 14 Jan 2020
Gaussian process classification using posterior linearisation Á. F. García-Fernández Filip Tronarp Simo Särkkä 22 11 0 13 Sep 2018
Expectation Propagation for t-Exponential Family Using Q-Algebra Futoshi Futami Issei Sato Masashi Sugiyama 15 6 0 25 May 2017
Chained Gaussian Processes Alan D. Saul J. Hensman Aki Vehtari Neil D. Lawrence 16 59 0 18 Apr 2016
Log-concavity and strong log-concavity: a review Adrien Saumard J. Wellner 49 274 0 23 Apr 2014
Approximate Inference for Nonstationary Heteroscedastic Gaussian process Regression Ville Tolvanen Pasi Jylänki Aki Vehtari 44 60 0 22 Apr 2014
On Approximate Inference for Generalized Gaussian Process Models Lifeng Shang Antoni B. Chan 38 11 0 25 Nov 2013
Expectation Propagation for Neural Networks with Sparsity-promoting Priors Pasi Jylänki A. Nummenmaa Aki Vehtari 41 36 0 27 Mar 2013
Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox J. Vanhatalo J. Riihimaki Jouni Hartikainen Pasi Jylänki Ville Tolvanen Aki Vehtari GP 33 46 0 25 Jun 2012