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. 1506.04088
  4. Cited By
Linear Response Methods for Accurate Covariance Estimates from Mean
  Field Variational Bayes

Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes

12 June 2015
Ryan Giordano
Tamara Broderick
Michael I. Jordan
ArXivPDFHTML

Papers citing "Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes"

10 / 10 papers shown
Title
Uncertainty quantification for sparse spectral variational
  approximations in Gaussian process regression
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression
D. Nieman
Botond Szabó
Harry Van Zanten
31
5
0
21 Dec 2022
Efficient Semi-Implicit Variational Inference
Efficient Semi-Implicit Variational Inference
Vincent Moens
Hang Ren
A. Maraval
Rasul Tutunov
Jun Wang
H. Ammar
85
6
0
15 Jan 2021
Semi-Implicit Variational Inference
Semi-Implicit Variational Inference
Mingzhang Yin
Mingyuan Zhou
BDL
35
121
0
28 May 2018
Approximate Inference for Constructing Astronomical Catalogs from Images
Approximate Inference for Constructing Astronomical Catalogs from Images
Jeffrey Regier
Andrew C. Miller
D. Schlegel
Ryan P. Adams
Jon D. McAuliffe
Google Brain
8
14
0
28 Feb 2018
The variational Laplace approach to approximate Bayesian inference
The variational Laplace approach to approximate Bayesian inference
J. Daunizeau
BDL
18
19
0
02 Mar 2017
Tractable Bayesian Density Regression via Logit Stick-Breaking Priors
Tractable Bayesian Density Regression via Logit Stick-Breaking Priors
T. Rigon
Daniele Durante
19
27
0
11 Jan 2017
Boosting Variational Inference
Boosting Variational Inference
Fangjian Guo
Xiangyu Wang
Kai Fan
Tamara Broderick
David B. Dunson
BDL
27
75
0
17 Nov 2016
Learning an Astronomical Catalog of the Visible Universe through
  Scalable Bayesian Inference
Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference
Jeffrey Regier
Steven R. Howard
Ryan Giordano
Ryan P. Adams
Andy Miller
Jon D. McAuliffe
Andreas Jensen
21
7
0
10 Nov 2016
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
44
4,710
0
04 Jan 2016
Hierarchical Variational Models
Hierarchical Variational Models
Rajesh Ranganath
Dustin Tran
David M. Blei
DRL
VLM
23
335
0
07 Nov 2015
1