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

12 June 2015

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

41 / 41 papers shown

Title
Quantification of Uncertainties in Probabilistic Deep Neural Network by Implementing Boosting of Variational Inference Pavia Bera Sanjukta Bhanja UQCV BDL 143 2 0 18 Mar 2025
Kernel Semi-Implicit Variational Inference Ziheng Cheng Longlin Yu Tianyu Xie Shiyue Zhang Cheng Zhang 101 7 0 29 May 2024
VISA: Variational Inference with Sequential Sample-Average Approximations Heiko Zimmermann C. A. Naesseth Jan-Willem van de Meent 103 1 0 14 Mar 2024
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration Longlin Yu Tianyu Xie Yu Zhu Tong Yang Xiangyu Zhang Cheng Zhang DiffM 110 11 0 26 Oct 2023
Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression Jiaze Qiu 73 3 0 15 Oct 2023
Deep Learning and Bayesian inference for Inverse Problems A. Mohammad-Djafari Ning Chu Li Wang Lianggeng Yu BDL AI4CE UQCV 68 0 0 28 Aug 2023
Semi-Implicit Variational Inference via Score Matching Longlin Yu Chuxu Zhang 139 17 0 19 Aug 2023
Sample Average Approximation for Black-Box VI Javier Burroni Justin Domke Daniel Sheldon 118 5 0 13 Apr 2023
Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box Ryan Giordano Martin Ingram Tamara Broderick 164 13 0 11 Apr 2023
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression D. Nieman Botond Szabó Harry Van Zanten 176 5 0 21 Dec 2022
Moment Propagation J. Ormerod Weichang Yu 101 0 0 21 Nov 2022
VFDS: Variational Foresight Dynamic Selection in Bayesian Neural Networks for Efficient Human Activity Recognition Randy Ardywibowo Shahin Boluki Zhangyang Wang Bobak J. Mortazavi Shuai Huang Xiaoning Qian 81 2 0 31 Mar 2022
Toward a Taxonomy of Trust for Probabilistic Machine Learning Tamara Broderick Andrew Gelman Rachael Meager Anna L. Smith Tian Zheng 107 13 0 05 Dec 2021
Structured Stochastic Gradient MCMC Antonios Alexos Alex Boyd Stephan Mandt BDL 133 13 0 19 Jul 2021
Laplace-aided variational inference for differential equation models Hyunjoo Yang Jaeyong Lee 36 1 0 07 Apr 2021
Efficient Semi-Implicit Variational Inference Vincent Moens Hang Ren A. Maraval Rasul Tutunov Jun Wang H. Ammar 208 7 0 15 Jan 2021
Challenges in Markov chain Monte Carlo for Bayesian neural networks Theodore Papamarkou Jacob D. Hinkle M. T. Young D. Womble BDL 244 54 0 15 Oct 2019
A Theoretical Case Study of Structured Variational Inference for Community Detection Mingzhang Yin Y. X. R. Wang Purnamrita Sarkar 179 8 0 29 Jul 2019
Analyzing and Storing Network Intrusion Detection Data using Bayesian Coresets: A Preliminary Study in Offline and Streaming Settings Fabio Massimo Zennaro 39 7 0 20 Jun 2019
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior Bootstrap Edwin Fong Simon Lyddon Chris Holmes 239 39 0 08 Feb 2019
Scalable GAM using sparse variational Gaussian processes Vincent Adam N. Durrande S. T. John 53 2 0 28 Dec 2018
Doubly Semi-Implicit Variational Inference Dmitry Molchanov V. Kharitonov Artem Sobolev Dmitry Vetrov BDL 156 40 0 05 Oct 2018
Variational Bayesian Approach and Gauss-Markov-Potts prior model Camille Chapdelaine 43 3 0 28 Aug 2018
Unbiased Implicit Variational Inference Michalis K. Titsias Francisco J. R. Ruiz BDL 216 57 0 06 Aug 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 137 132 0 28 May 2018
Approximate Inference for Constructing Astronomical Catalogs from Images Jeffrey Regier Andrew C. Miller D. Schlegel Ryan P. Adams Jon D. McAuliffe Google Brain 40 15 0 28 Feb 2018
An Instability in Variational Inference for Topic Models Behrooz Ghorbani H. Javadi Andrea Montanari 92 33 0 02 Feb 2018
Conditionally conjugate mean-field variational Bayes for logistic models Daniele Durante T. Rigon 99 39 0 19 Nov 2017
Structured Variational Inference for Coupled Gaussian Processes Vincent Adam 68 2 0 03 Nov 2017
Bayesian Nonparametric Models for Biomedical Data Analysis Tianjian Zhou 61 0 0 26 Oct 2017
The variational Laplace approach to approximate Bayesian inference J. Daunizeau BDL 93 20 0 02 Mar 2017
Tractable Bayesian Density Regression via Logit Stick-Breaking Priors T. Rigon Daniele Durante 124 28 0 11 Jan 2017
Boosting Variational Inference Fangjian Guo Xiangyu Wang Kai Fan Tamara Broderick David B. Dunson BDL 195 76 0 17 Nov 2016
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 77 7 0 10 Nov 2016
Improving variational methods via pairwise linear response identities Jack Raymond F. Ricci-Tersenghi 114 1 0 02 Nov 2016
Fast robustness quantification with variational Bayes Ryan Giordano Tamara Broderick Rachael Meager Jonathan H. Huggins Michael I. Jordan 46 10 0 23 Jun 2016
Patterns of Scalable Bayesian Inference E. Angelino Matthew J. Johnson Ryan P. Adams 166 92 0 16 Feb 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 804 5,027 0 04 Jan 2016
Multivariate Output Analysis for Markov chain Monte Carlo Dootika Vats James M. Flegal Galin L. Jones 132 276 0 24 Dec 2015
Hierarchical Variational Models Rajesh Ranganath Dustin Tran David M. Blei DRL VLM 172 345 0 07 Nov 2015
Covariance Matrices for Mean Field Variational Bayes Ryan Giordano Tamara Broderick 66 0 0 24 Oct 2014