A Diffusion Process Perspective on Posterior Contraction Rates for
Parameters

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A Diffusion Process Perspective on Posterior Contraction Rates for Parameters

3 September 2019

Martin J. Wainwright

Peter L. Bartlett

Michael I. Jordan

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Papers citing "A Diffusion Process Perspective on Posterior Contraction Rates for Parameters"

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Title
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias Lu Yu Krishnakumar Balasubramanian S. Volgushev Murat A. Erdogdu 94 52 0 14 Jun 2020
Instability, Computational Efficiency and Statistical Accuracy Nhat Ho K. Khamaru Raaz Dwivedi Martin J. Wainwright Michael I. Jordan Bin Yu 45 20 0 22 May 2020
Understanding the Acceleration Phenomenon via High-Resolution Differential Equations Bin Shi S. Du Michael I. Jordan Weijie J. Su 61 262 0 21 Oct 2018
Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm Alain Durmus Eric Moulines 69 415 0 17 Jul 2015
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 165 1,173 0 04 Mar 2015
Theoretical guarantees for approximate sampling from smooth and log-concave densities A. Dalalyan 83 516 0 23 Dec 2014
Statistical guarantees for the EM algorithm: From population to sample-based analysis Sivaraman Balakrishnan Martin J. Wainwright Bin Yu 313 481 0 09 Aug 2014
Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima Po-Ling Loh Martin J. Wainwright 303 517 0 10 May 2013
Adaptive nonparametric Bayesian inference using location-scale mixture priors de R René Jonge V. Zanten 77 55 0 09 Nov 2012
Adaptive Bayesian multivariate density estimation with Dirichlet mixtures Weining Shen S. Tokdar S. Ghosal 89 144 0 29 Sep 2011
Convergence of latent mixing measures in finite and infinite mixture models X. Nguyen 98 184 0 15 Sep 2011
Posterior convergence rates of Dirichlet mixtures at smooth densities S. Ghosal A. van der Vaart 320 232 0 14 Aug 2007