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1507.04513
Cited By
Scalable Gaussian Process Classification via Expectation Propagation
16 July 2015
Daniel Hernández-Lobato
José Miguel Hernández-Lobato
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Papers citing
"Scalable Gaussian Process Classification via Expectation Propagation"
18 / 18 papers shown
Title
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
63
16
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
67
15
0
12 Dec 2020
Stein Variational Gaussian Processes
Thomas Pinder
Christopher Nemeth
David Leslie
BDL
37
7
0
25 Sep 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Jake C. Snell
R. Zemel
104
63
0
20 Jul 2020
Deep Sigma Point Processes
M. Jankowiak
Geoff Pleiss
Jacob R. Gardner
BDL
69
22
0
21 Feb 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
Knowing The What But Not The Where in Bayesian Optimization
Vu Nguyen
Michael A. Osborne
104
38
0
07 May 2019
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
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
Dimitrios Milios
Raffaello Camoriano
Pietro Michiardi
Lorenzo Rosasco
Maurizio Filippone
UQCV
78
75
0
28 May 2018
Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation
F. Wenzel
Théo Galy-Fajou
Christian Donner
Marius Kloft
Manfred Opper
89
36
0
18 Feb 2018
Convolutional Gaussian Processes
Mark van der Wilk
C. Rasmussen
J. Hensman
BDL
90
132
0
06 Sep 2017
Expectation Propagation for t-Exponential Family Using Q-Algebra
Futoshi Futami
Issei Sato
Masashi Sugiyama
68
6
0
25 May 2017
Streaming Sparse Gaussian Process Approximations
T. Bui
Cuong V Nguyen
Richard Turner
80
103
0
19 May 2017
Generic Inference in Latent Gaussian Process Models
Edwin V. Bonilla
K. Krauth
Amir Dezfouli
BDL
64
28
0
02 Sep 2016
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
Scalable Gaussian Processes for Supervised Hashing
B. Ozdemir
L. Davis
29
2
0
25 Apr 2016
Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation
T. Bui
José Miguel Hernández-Lobato
Yingzhen Li
Daniel Hernández-Lobato
Richard Turner
BDL
GP
61
8
0
11 Nov 2015
Black-box
α
α
α
-divergence Minimization
José Miguel Hernández-Lobato
Yingzhen Li
Mark Rowland
Daniel Hernández-Lobato
T. Bui
Richard Turner
127
139
0
10 Nov 2015
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