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Biwhitening Reveals the Rank of a Count Matrix
v1v2 (latest)

Biwhitening Reveals the Rank of a Count Matrix

25 March 2021
Boris Landa
Thomas T. Zhang
Y. Kluger
ArXiv (abs)PDFHTML

Papers citing "Biwhitening Reveals the Rank of a Count Matrix"

9 / 9 papers shown
Title
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
Yucheng Liu
Xiaodong Li
236
0
0
08 Jun 2024
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits
  and Optimal Spectral Methods
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
Yihan Zhang
Marco Mondelli
80
3
0
22 May 2024
Spectral Properties of Elementwise-Transformed Spiked Matrices
Spectral Properties of Elementwise-Transformed Spiked Matrices
Michael J. Feldman
144
4
0
03 Nov 2023
On the Power of SVD in the Stochastic Block Model
On the Power of SVD in the Stochastic Block Model
Xinyu Mao
Jiapeng Zhang
45
1
0
27 Sep 2023
Is your data alignable? Principled and interpretable alignability
  testing and integration of single-cell data
Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data
Rong Ma
Eric D. Sun
D. Donoho
James Zou
64
9
0
03 Aug 2023
Matrix Denoising with Partial Noise Statistics: Optimal Singular Value
  Shrinkage of Spiked F-Matrices
Matrix Denoising with Partial Noise Statistics: Optimal Singular Value Shrinkage of Spiked F-Matrices
M. Gavish
W. Leeb
Elad Romanov
44
6
0
02 Nov 2022
HePPCAT: Probabilistic PCA for Data with Heteroscedastic Noise
HePPCAT: Probabilistic PCA for Data with Heteroscedastic Noise
David Hong
Kyle Gilman
Laura Balzano
Jeffrey A. Fessler
144
20
0
10 Jan 2021
Selecting the number of components in PCA via random signflips
Selecting the number of components in PCA via random signflips
David Hong
Yueqi Sheng
Yan Sun
116
16
0
05 Dec 2020
Optimally Weighted PCA for High-Dimensional Heteroscedastic Data
Optimally Weighted PCA for High-Dimensional Heteroscedastic Data
David Hong
Fan Yang
Jeffrey A. Fessler
Laura Balzano
107
26
0
30 Oct 2018
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