Scalable Gaussian Process Classification via Expectation Propagation

Scalable Gaussian Process Classification via Expectation Propagation

16 July 2015

Daniel Hernández-Lobato

José Miguel Hernández-Lobato

Papers citing "Scalable Gaussian Process Classification via Expectation Propagation"

8 / 8 papers shown

Title
Function-Space Regularization for Deep Bayesian Classification J. Lin Joe Watson Pascal Klink Jan Peters UQCV BDL 41 1 0 12 Jul 2023
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products Maryam Habibpour Hassan Gharoun AmirReza Tajally Afshar Shamsi Jokandan Hamzeh Asgharnezhad Abbas Khosravi S. Nahavandi UQCV 26 13 0 24 Jul 2021
A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes A. Benavoli Dario Azzimonti Dario Piga 27 15 0 12 Dec 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 33 63 0 20 Jul 2020
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification Dimitrios Milios Raffaello Camoriano Pietro Michiardi Lorenzo Rosasco Maurizio Filippone UQCV 33 74 0 28 May 2018
Expectation Propagation for t-Exponential Family Using Q-Algebra Futoshi Futami Issei Sato Masashi Sugiyama 13 6 0 25 May 2017
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation T. Bui Josiah Yan Richard Turner 16 25 0 23 May 2016
Black-box $α$ -divergence Minimization José Miguel Hernández-Lobato Yingzhen Li Mark Rowland Daniel Hernández-Lobato T. Bui Richard Turner 21 137 0 10 Nov 2015