Fetching the paper…
Reading the bibliography…
We study high-dimensional Bayesian linear regression with product priors.
Low-density parity-check codes
Robert Gallager · 1962
Earlier work this paper cites.
Continuous univariate distributions: Distributions in statistics
Norman L Johnson and Samuel Kotz · 1971
Earlier work this paper cites.
Random coding strategies for minimum entropy
Edward Posner · 1975
Earlier work this paper cites.
The ghs and other correlation inequalities for a class of even ferromagnets
Richard S Ellis, James L Monroe, and Charles M Newman · 1976
Earlier work this paper cites.
Spin glass theory and beyond: An Introduction to the Replica Method and Its Applications
Marc Mézard, Giorgio Parisi, and Miguel Angel Virasoro · 1987
Earlier work this paper cites.
Bayesian variable selection in linear regression
Toby J Mitchell and John J Beauchamp · 1988
Earlier work this paper cites.
Quick approximation to matrices and applications
Alan Frieze and Ravi Kannan · 1999
Earlier work this paper cites.
Asymptotic normality of posterior distributions in high-dimensional linear models
Subhashis Ghosal · 1999
Earlier work this paper cites.
Good error-correcting codes based on very sparse matrices
David JC MacKay · 1999
Earlier work this paper cites.
Spike and slab variable selection: frequentist and bayesian strategies
Hemant Ishwaran and J Sunil Rao · 2005
Earlier work this paper cites.
Pattern recognition and machine learning
Christopher M Bishop · 2006
Earlier work this paper cites.
Theory of point estimation
Erich L Lehmann and George Casella · 2006
Earlier work this paper cites.
Convergence properties of a general algorithm for calculating variational bayesian estimates for a normal mixture model
Bo Wang and D Michael Titterington · 2006
Earlier work this paper cites.
Szemerédi’s lemma for the analyst
László Lovász and Balázs Szegedy · 2007
Earlier work this paper cites.
Convergent sequences of dense graphs i: Subgraph frequencies, metric properties and testing
Christian Borgs, Jennifer T Chayes, László Lovász, Vera T Sós, and Katalin Vesztergombi · 2008
Earlier work this paper cites.
Graphical models, exponential families, and variational inference
Martin J Wainwright and Michael Irwin Jordan · 2008
Earlier work this paper cites.
On consistency and sparsity for principal components analysis in high dimensions
Iain M Johnstone and Arthur Yu Lu · 2009
Earlier work this paper cites.
The horseshoe estimator for sparse signals
Carlos M Carvalho, Nicholas G Polson, and James G Scott · 2010
Earlier work this paper cites.
Asymptotic normality and valid inference for gaussian variational approximation
Peter Hall, Tung Pham, Matt P Wand, and Shen SJ Wang · 2011
Earlier work this paper cites.
Rare-variant association testing for sequencing data with the sequence kernel association test
Michael C Wu, Seunggeun Lee, Tianxi Cai, Yun Li, Michael Boehnke, and Xihong Lin · 2011
Earlier work this paper cites.
Convergent sequences of dense graphs ii. multiway cuts and statistical physics
Christian Borgs, Jennifer T Chayes, László Lovász, Vera T Sós, and Katalin Vesztergombi · 2012
Cited alongside, same era.
Scalable variational inference for bayesian variable selection in regression, and its accuracy in genetic association studies
Peter Carbonetto and Matthew Stephens · 2012
Cited alongside, same era.
Large networks and graph limits
László Lovász · 2012
Cited alongside, same era.
How close is the sample covariance matrix to the actual covariance matrix?
Roman Vershynin · 2012
Cited alongside, same era.
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Peter Bickel, David Choi, Xiangyu Chang, and Hai Zhang · 2013
Cited alongside, same era.
Mean field variational bayes for continuous sparse signal shrinkage: pitfalls and remedies
The mean-field approximation: Information inequalities, algorithms, and complexity
Vishesh Jain, Frederic Koehler, and Elchanan Mossel · 2018
Later among the works it cites.
Arun Kumar Kuchibhotla and Abhishek Chakrabortty · 2018
Later among the works it cites.
A transportation approach to the mean-field approximation
Fanny Augeri · 2019
Later among the works it cites.
The structure of low-complexity gibbs measures on product spaces
Tim Austin · 2019
Later among the works it cites.
An l p l^{p} theory of sparse graph convergence i: Limits, sparse random graph models, and power law distributions
Christian Borgs, Jennifer Chayes, Henry Cohn, and Yufei Zhao · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Sarah E Neville, John T Ormerod, and MP Wand · 2014
Cited alongside, same era.
A large-scale screen for coding variants predisposing to psoriasis
Huayang Tang, Xin Jin, Yang Li, Hui Jiang, Xianfa Tang, Xu Yang, Hui Cheng, Ying Qiu, Gang Chen, Junpu Mei, et al · 2014
Cited alongside, same era.
Consistent nonparametric estimation for heavy-tailed sparse graphs
Christian Borgs, Jennifer T Chayes, Henry Cohn, and Shirshendu Ganguly · 2015
Cited alongside, same era.
Bayesian linear regression with sparse priors
Ismaël Castillo, Johannes Schmidt-Hieber, and Aad Van der Vaart · 2015
Cited alongside, same era.
On the properties of variational approximations of gibbs posteriors
Pierre Alquier, James Ridgway, and Nicolas Chopin · 2016
Cited alongside, same era.
Fast sampling with gaussian scale mixture priors in high-dimensional regression
Anirban Bhattacharya, Antik Chakraborty, and Bani K Mallick · 2016
Cited alongside, same era.
Nonlinear large deviations
Sourav Chatterjee and Amir Dembo · 2016
Cited alongside, same era.
Later among the works it cites.
An instability in variational inference for topic models
Behrooz Ghorbani, Hamid Javadi, and Andrea Montanari · 2019
Later among the works it cites.
Statistical inference in mean-field variational bayes
Wei Han and Yun Yang · 2019
Later among the works it cites.
Mean-field approximation, convex hierarchies, and the optimality of correlation rounding: a unified perspective
Vishesh Jain, Frederic Koehler, and Andrej Risteski · 2019
Later among the works it cites.
Variational bayes under model misspecification
Yixin Wang and David Blei · 2019
Later among the works it cites.
Frequentist consistency of variational bayes
Yixin Wang and David M Blei · 2019
Later among the works it cites.
Beyond prediction: A framework for inference with variational approximations in mixture models
T Westling and TH McCormick · 2019
Later among the works it cites.
Concentration of tempered posteriors and of their variational approximations
Pierre Alquier and James Ridgway · 2020
Later among the works it cites.
Continuous shrinkage prior revisited: a collapsing behavior and remedy
Se Yoon Lee, Debdeep Pati, and Bani K Mallick · 2020
Later among the works it cites.
Spike and slab variational bayes for high dimensional logistic regression
Kolyan Ray, Botond Szabo, and Gabriel Clara · 2020
Later among the works it cites.
Nonlinear large deviations: Beyond the hypercube
Jun Yan · 2020
Later among the works it cites.
α \alpha -variational inference with statistical guarantees
Yun Yang, Debdeep Pati, and Anirban Bhattacharya · 2020
Later among the works it cites.
Theoretical and computational guarantees of mean field variational inference for community detection
Anderson Y Zhang and Harrison H Zhou · 2020
Later among the works it cites.
Bayesian inference in high-dimensional models
Sayantan Banerjee, Ismaël Castillo, and Subhashis Ghosal · 2021
Closest in time.
Nicholas A Cook, Amir Dembo, and Huy Tuan Pham · 2021
Closest in time.
Variational bayes for high-dimensional linear regression with sparse priors
Kolyan Ray and Botond Szabó · 2021
Closest in time.