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Efficient Gaussian Process Classification Using Polya-Gamma Data
  Augmentation
v1v2 (latest)

Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation

18 February 2018
F. Wenzel
Théo Galy-Fajou
Christian Donner
Marius Kloft
Manfred Opper
ArXiv (abs)PDFHTML

Papers citing "Efficient Gaussian Process Classification Using Polya-Gamma Data Augmentation"

13 / 13 papers shown
Title
Video-based Surgical Skill Assessment using Tree-based Gaussian Process
  Classifier
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
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular
  Property Prediction
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
Jiajun He
Austin Tripp
José Miguel Hernández-Lobato
66
23
0
05 May 2022
Adaptive Inducing Points Selection For Gaussian Processes
Adaptive Inducing Points Selection For Gaussian Processes
Théo Galy-Fajou
Manfred Opper
84
16
0
21 Jul 2021
Personalized Federated Learning with Gaussian Processes
Personalized Federated Learning with Gaussian Processes
Idan Achituve
Aviv Shamsian
Aviv Navon
Gal Chechik
Ethan Fetaya
FedML
87
103
0
29 Jun 2021
Scalable Cross Validation Losses for Gaussian Process Models
Scalable Cross Validation Losses for Gaussian Process Models
M. Jankowiak
Geoff Pleiss
60
6
0
24 May 2021
Automated Augmented Conjugate Inference for Non-conjugate Gaussian
  Process Models
Automated Augmented Conjugate Inference for Non-conjugate Gaussian Process Models
Théo Galy-Fajou
F. Wenzel
Manfred Opper
57
4
0
26 Feb 2020
Extreme Classification via Adversarial Softmax Approximation
Extreme Classification via Adversarial Softmax Approximation
Robert Bamler
Stephan Mandt
77
23
0
15 Feb 2020
Scalable Gaussian Process Classification with Additive Noise for Various
  Likelihoods
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
Correlation Priors for Reinforcement Learning
Correlation Priors for Reinforcement Learning
Bastian Alt
Adrian Šošić
Heinz Koeppl
OffRL
49
12
0
11 Sep 2019
Multi-Class Gaussian Process Classification Made Conjugate: Efficient
  Inference via Data Augmentation
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
Learning Invariances using the Marginal Likelihood
Learning Invariances using the Marginal Likelihood
Mark van der Wilk
Matthias Bauer
S. T. John
J. Hensman
92
86
0
16 Aug 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs
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
Scalable Generalized Dynamic Topic Models
Scalable Generalized Dynamic Topic Models
P. Jähnichen
F. Wenzel
Marius Kloft
Stephan Mandt
BDL
93
40
0
21 Mar 2018
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