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Self-regularizing Property of Nonparametric Maximum Likelihood Estimator
  in Mixture Models
v1v2 (latest)

Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models

19 August 2020
Yury Polyanskiy
Yihong Wu
ArXiv (abs)PDFHTML

Papers citing "Self-regularizing Property of Nonparametric Maximum Likelihood Estimator in Mixture Models"

7 / 7 papers shown
Title
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
143
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
93
1
0
13 Apr 2024
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient
  Flow
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow
Yuling Yan
Kaizheng Wang
Philippe Rigollet
110
25
0
04 Jan 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 Models
Yangjing Zhang
Ying Cui
B. Sen
Kim-Chuan Toh
80
5
0
16 Aug 2022
Multivariate, Heteroscedastic Empirical Bayes via Nonparametric Maximum
  Likelihood
Multivariate, Heteroscedastic Empirical Bayes via Nonparametric Maximum Likelihood
Jake A. Soloff
Adityanand Guntuboyina
B. Sen
81
21
0
08 Sep 2021
A Nonparametric Maximum Likelihood Approach to Mixture of Regression
A Nonparametric Maximum Likelihood Approach to Mixture of Regression
Hansheng Jiang
Adityanand Guntuboyina
28
3
0
22 Aug 2021
Empirical Bayes PCA in high dimensions
Empirical Bayes PCA in high dimensions
Xinyi Zhong
Chang Su
Z. Fan
96
19
0
21 Dec 2020
1