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2012.11676
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Empirical Bayes PCA in high dimensions
21 December 2020
Xinyi Zhong
Chang Su
Z. Fan
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Papers citing
"Empirical Bayes PCA in high dimensions"
14 / 14 papers shown
Clustering by Denoising: Latent plug-and-play diffusion for single-cell data
Dominik Meier
Shixing Yu
Sagnik Nandy
Promit Ghosal
Kyra Gan
DiffM
307
0
0
26 Oct 2025
Optimal thresholds and algorithms for a model of multi-modal learning in high dimensions
Christian Keup
Lenka Zdeborová
435
4
0
03 Jul 2024
A New Perspective On Denoising Based On Optimal Transport
Information and Inference A Journal of the IMA (JIII), 2023
Nicolas García Trillos
Bodhisattva Sen
OOD
OT
294
4
0
13 Dec 2023
Empirical Bayes Covariance Decomposition, and a Solution to the Multiple Tuning Problem in Sparse PCA
Joonsuk Kang
Matthew Stephens
182
0
0
06 Dec 2023
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression
Soumendu Sundar Mukherjee
Bodhisattva Sen
Subhabrata Sen
410
7
0
28 Sep 2023
Bayes optimal learning in high-dimensional linear regression with network side information
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Sagnik Nandy
Subhabrata Sen
389
3
0
09 Jun 2023
A statistical framework for GWAS of high dimensional phenotypes using summary statistics, with application to metabolite GWAS
Weiqiong Huang
Emily C. Hector
Joshua Cape
Chris McKennan
178
0
0
17 Mar 2023
Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control
Taejoon Ahn
Licong Lin
Song Mei
501
3
0
04 Nov 2022
The price of ignorance: how much does it cost to forget noise structure in low-rank matrix estimation?
Neural Information Processing Systems (NeurIPS), 2022
Jean Barbier
Tianqi Hou
Marco Mondelli
Manuel Sáenz
439
21
0
20 May 2022
Statistically Optimal First Order Algorithms: A Proof via Orthogonalization
Information and Inference A Journal of the IMA (JIII), 2022
Andrea Montanari
Yuchen Wu
329
17
0
13 Jan 2022
PCA Initialization for Approximate Message Passing in Rotationally Invariant Models
Neural Information Processing Systems (NeurIPS), 2021
Marco Mondelli
R. Venkataramanan
424
21
0
04 Jun 2021
Two-way kernel matrix puncturing: towards resource-efficient PCA and spectral clustering
International Conference on Machine Learning (ICML), 2021
Romain Couillet
Florent Chatelain
N. L. Bihan
302
11
0
24 Feb 2021
Limiting laws and consistent estimation criteria for fixed and diverging number of spiked eigenvalues
Jian-bo Hu
Jingfei Zhang
Jianhua Guo
Ji Zhu
334
2
0
15 Dec 2020
Matrices with Gaussian noise: optimal estimates for singular subspace perturbation
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2018
Sean O’Rourke
Van Vu
Ke Wang
426
13
0
02 Mar 2018
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