ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1111.6832
  4. Cited By
Gaussian Probabilities and Expectation Propagation

Gaussian Probabilities and Expectation Propagation

29 November 2011
John P. Cunningham
Philipp Hennig
Simon Lacoste-Julien
ArXivPDFHTML

Papers citing "Gaussian Probabilities and Expectation Propagation"

6 / 6 papers shown
Title
A unified framework for closed-form nonparametric regression,
  classification, preference and mixed problems with Skew Gaussian Processes
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
Integrals over Gaussians under Linear Domain Constraints
Integrals over Gaussians under Linear Domain Constraints
A. Gessner
Oindrila Kanjilal
Philipp Hennig
25
28
0
21 Oct 2019
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large
  Datasets
Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets
Aaron Klein
Stefan Falkner
Simon Bartels
Philipp Hennig
Frank Hutter
AI4CE
29
545
0
23 May 2016
Black-box $α$-divergence Minimization
Black-box ααα-divergence Minimization
José Miguel Hernández-Lobato
Yingzhen Li
Mark Rowland
Daniel Hernández-Lobato
T. Bui
Richard Turner
21
137
0
10 Nov 2015
GLASSES: Relieving The Myopia Of Bayesian Optimisation
GLASSES: Relieving The Myopia Of Bayesian Optimisation
Javier I. González
Michael A. Osborne
Neil D. Lawrence
13
119
0
21 Oct 2015
Stochastic Expectation Propagation
Stochastic Expectation Propagation
Yingzhen Li
Jose Miguel Hernandez-Lobato
Richard Turner
21
114
0
12 Jun 2015
1