Scalable Multi-Class Gaussian Process Classification using Expectation Propagation

22 June 2017

Papers citing "Scalable Multi-Class Gaussian Process Classification using Expectation Propagation"

10 / 10 papers shown

Title
Video-based Surgical Skill Assessment using Tree-based Gaussian Process Classifier Arefeh Rezaei M. J. Ahmadi Amir Molaei H. Taghirad 55 1 0 15 Dec 2023
Multi-Instance Partial-Label Learning: Towards Exploiting Dual Inexact Supervision Wei Tang Weijia Zhang Min-Ling Zhang 50 12 0 18 Dec 2022
Gaussian Processes for Missing Value Imputation B. Jafrasteh Daniel Hernández-Lobato Simón Pedro Lubián López Isabel Benavente-Fernández GP 64 16 0 10 Apr 2022
Preferential Batch Bayesian Optimization E. Siivola Akash Kumar Dhaka Michael Riis Andersen Javier I. González Pablo G. Moreno Aki Vehtari 60 23 0 25 Mar 2020
Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods Haitao Liu Yew-Soon Ong Ziwei Yu Jianfei Cai Xiaobo Shen 57 3 0 14 Sep 2019
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data Augmentation Théo Galy-Fajou F. Wenzel Christian Donner Manfred Opper 60 30 0 23 May 2019
Gaussian process classification using posterior linearisation Á. F. García-Fernández Filip Tronarp Simo Särkkä 71 11 0 13 Sep 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 136 697 0 03 Jul 2018
Convolutional Gaussian Processes Mark van der Wilk C. Rasmussen J. Hensman BDL 90 132 0 06 Sep 2017
Pillar Networks++: Distributed non-parametric deep and wide networks B. Sengupta Y. Qian 29 4 0 18 Aug 2017