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A Diffusion Process Perspective on Posterior Contraction Rates for
  Parameters
v1v2 (latest)

A Diffusion Process Perspective on Posterior Contraction Rates for Parameters

3 September 2019
Wenlong Mou
Nhat Ho
Martin J. Wainwright
Peter L. Bartlett
Michael I. Jordan
ArXiv (abs)PDFHTML

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

5 / 5 papers shown
Title
Accelerating Approximate Thompson Sampling with Underdamped Langevin
  Monte Carlo
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo
Haoyang Zheng
Wei Deng
Christian Moya
Guang Lin
94
6
0
22 Jan 2024
An Exponentially Increasing Step-size for Parameter Estimation in
  Statistical Models
An Exponentially Increasing Step-size for Parameter Estimation in Statistical Models
Nhat Ho
Zhaolin Ren
Sujay Sanghavi
Purnamrita Sarkar
Rachel A. Ward
72
3
0
16 May 2022
Improving Computational Complexity in Statistical Models with
  Second-Order Information
Improving Computational Complexity in Statistical Models with Second-Order Information
Zhaolin Ren
Jiacheng Zhuo
Sujay Sanghavi
Nhat Ho
46
1
0
09 Feb 2022
On the cost of Bayesian posterior mean strategy for log-concave models
On the cost of Bayesian posterior mean strategy for log-concave models
S. Gadat
Fabien Panloup
Clément Pellegrini
59
7
0
08 Oct 2020
An Analysis of Constant Step Size SGD in the Non-convex Regime:
  Asymptotic Normality and Bias
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
106
52
0
14 Jun 2020
1