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Multivariate, Heteroscedastic Empirical Bayes via Nonparametric Maximum
  Likelihood
v1v2 (latest)

Multivariate, Heteroscedastic Empirical Bayes via Nonparametric Maximum Likelihood

8 September 2021
Jake A. Soloff
Adityanand Guntuboyina
B. Sen
ArXiv (abs)PDFHTML

Papers citing "Multivariate, Heteroscedastic Empirical Bayes via Nonparametric Maximum Likelihood"

9 / 9 papers shown
Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior
Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior
Yury Polyanskiy
Mark Sellke
261
1
0
26 Mar 2025
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
Bryon Aragam
Ruiyi Yang
458
0
0
29 Oct 2024
On the best approximation by finite Gaussian mixtures
On the best approximation by finite Gaussian mixtures
Yun Ma
Yihong Wu
Pengkun Yang
430
1
0
13 Apr 2024
A New Perspective On Denoising Based On Optimal Transport
A New Perspective On Denoising Based On Optimal TransportInformation and Inference A Journal of the IMA (JIII), 2023
Nicolas García Trillos
Bodhisattva Sen
OODOT
294
4
0
13 Dec 2023
Minimizing Convex Functionals over Space of Probability Measures via KL
  Divergence Gradient Flow
Minimizing Convex Functionals over Space of Probability Measures via KL Divergence Gradient FlowInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Rentian Yao
Linjun Huang
Yun Yang
325
7
0
01 Nov 2023
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional
  Linear Regression
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression
Soumendu Sundar Mukherjee
Bodhisattva Sen
Subhabrata Sen
423
7
0
28 Sep 2023
Empirical Bayes via ERM and Rademacher complexities: the Poisson model
Empirical Bayes via ERM and Rademacher complexities: the Poisson modelAnnual Conference Computational Learning Theory (COLT), 2023
Soham Jana
Yury Polyanskiy
Anzo Teh
Yihong Wu
232
9
0
05 Jul 2023
On Efficient and Scalable Computation of the Nonparametric Maximum
  Likelihood Estimator in Mixture Models
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture ModelsJournal of machine learning research (JMLR), 2022
Yangjing Zhang
Ying Cui
B. Sen
Kim-Chuan Toh
273
7
0
16 Aug 2022
A nonparametric regression alternative to empirical Bayes approaches to
  simultaneous estimation
A nonparametric regression alternative to empirical Bayes approaches to simultaneous estimation
Alton Barbehenn
S. Zhao
283
4
0
30 Apr 2022
1
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