Variational Inference: A Review for Statisticians

Laplace Variational Approximation for Semiparametric Regression in the Presence of Heteroscedastic Errors

(2016) Bruce D. Bugbee et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

On Variational Bayes Estimation and Variational Information Criteria for Linear Regression Models

(2014) Chong You et al.   AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

fastSTRUCTURE: Variational Inference of Population Structure in Large SNP Data Sets

(2014) Anil Raj et al.   GENETICS

Decomposing spatiotemporal brain patterns into topographic latent sources

(2014) Samuel J. Gershman et al.   NEUROIMAGE

Topographic Factor Analysis: A Bayesian Model for Inferring Brain Networks from Neural Data

(2014) Jeremy R. Manning et al.   PLoS One

Mean field variational Bayes for continuous sparse signal shrinkage: Pitfalls and remedies

(2014) Sarah E. Neville et al.   Electronic Journal of Statistics

VBA: A Probabilistic Treatment of Nonlinear Models for Neurobiological and Behavioural Data

(2014) Jean Daunizeau et al.   PLoS Computational Biology

Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels

(2013) Peter Bickel et al.   ANNALS OF STATISTICS

A variational Bayes spatiotemporal model for electromagnetic brain mapping

(2013) F. S. Nathoo et al.   BIOMETRICS

Variational Inference for Generalized Linear Mixed Models Using Partially Noncentered Parametrizations

(2013) Linda S. L. Tan et al.   STATISTICAL SCIENCE

Probabilistic topic models

(2012) David M. Blei   COMMUNICATIONS OF THE ACM

Regression Density Estimation With Variational Methods and Stochastic Approximation

(2012) David J. Nott et al.   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Consistency of maximum-likelihood and variational estimators in the stochastic block model

(2012) Alain Celisse et al.   Electronic Journal of Statistics

Asymptotic normality and valid inference for Gaussian variational approximation

(2011) Peter Hall et al.   ANNALS OF STATISTICS

Search for patterns of functional specificity in the brain: A nonparametric hierarchical Bayesian model for group fMRI data

(2011) Danial Lashkari et al.   NEUROIMAGE

A Bayesian approach for place recognition

(2011) Fabio Ramos et al.   ROBOTICS AND AUTONOMOUS SYSTEMS

Sparse variational analysis of linear mixed models for large data sets

(2011) Artin Armagan et al.   STATISTICS & PROBABILITY LETTERS

A variational Bayes algorithm for fast and accurate multiple locus genome-wide association analysis

(2010) Benjamin A Logsdon et al.   BMC BIOINFORMATICS

Variational Inference for Large-Scale Models of Discrete Choice

(2010) Michael Braun et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies

(2010) Oliver Stegle et al.   PLoS Computational Biology

Layered Dynamic Textures

(2009) A.B. Chan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Human Action Recognition by Semilatent Topic Models

(2009) Yang Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Bayesian spatiotemporal model for very large data sets

(2009) L.M. Harrison et al.   NEUROIMAGE

Latent-Space Variational Bayes

(2008) Jaemo Sung et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance

(2008) Mark Cummins et al.   INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH

A unified Bayesian framework for MEG/EEG source imaging

(2008) David Wipf et al.   NEUROIMAGE

Bayesian Approach to Network Modularity

(2008) Jake M. Hofman et al.   PHYSICAL REVIEW LETTERS

Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG

(2007) Stefan J. Kiebel et al.   NEUROIMAGE