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. 1910.12360
  4. Cited By
Conditional Expectation Propagation
v1v2 (latest)

Conditional Expectation Propagation

27 October 2019
Zheng Wang
Shandian Zhe
ArXiv (abs)PDFHTML

Papers citing "Conditional Expectation Propagation"

9 / 9 papers shown
Title
Distributed Flexible Nonlinear Tensor Factorization
Distributed Flexible Nonlinear Tensor Factorization
Shandian Zhe
Kai Zhang
Pengyuan Wang
Kuang-chih Lee
Zenglin Xu
Y. Qi
Zoubin Ghahramani
112
61
0
27 Apr 2016
Stochastic Expectation Propagation
Stochastic Expectation Propagation
Yingzhen Li
Jose Miguel Hernandez-Lobato
Richard Turner
154
115
0
12 Jun 2015
Kernel-Based Just-In-Time Learning for Passing Expectation Propagation
  Messages
Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages
Wittawat Jitkrittum
Arthur Gretton
N. Heess
S. M. Ali Eslami
Balaji Lakshminarayanan
Dino Sejdinovic
Z. Szabó
117
33
0
09 Mar 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural
  Networks
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
José Miguel Hernández-Lobato
Ryan P. Adams
UQCVBDL
148
946
0
18 Feb 2015
Streaming Variational Bayes
Streaming Variational Bayes
Tamara Broderick
N. Boyd
Andre Wibisono
Ashia Wilson
Michael I. Jordan
88
346
0
25 Jul 2013
Tractable Inference for Complex Stochastic Processes
Tractable Inference for Complex Stochastic Processes
Xavier Boyen
D. Koller
TPM
94
659
0
30 Jan 2013
Loopy Belief Propagation for Approximate Inference: An Empirical Study
Loopy Belief Propagation for Approximate Inference: An Empirical Study
Kevin P. Murphy
Yair Weiss
Michael I. Jordan
3DV
138
1,883
0
23 Jan 2013
Expectation Propagation for approximate Bayesian inference
Expectation Propagation for approximate Bayesian inference
T. Minka
146
1,909
0
10 Jan 2013
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian
  Monte Carlo
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
193
4,315
0
18 Nov 2011
1