research
∙
11/02/2022
Matrix Denoising with Partial Noise Statistics: Optimal Singular Value Shrinkage of Spiked F-Matrices
We study the problem of estimating a large, low-rank matrix corrupted by...
share
research
∙
07/12/2021
Dihedral multi-reference alignment
We study the dihedral multi-reference alignment problem of estimating th...
research
∙
01/22/2021
On the robustness of certain norms
We study a family of norms defined for functions on an interval. These n...
research
∙
06/27/2020
Super-resolution multi-reference alignment
We study super-resolution multi-reference alignment, the problem of esti...
research
∙
05/24/2020
Optimal singular value shrinkage for operator norm loss
We study the denoising of low-rank matrices by singular value shrinkage....
research
∙
12/05/2019
A note on identifiability conditions in confirmatory factor analysis
Recently, Chen, Li and Zhang have established simple conditions characte...
research
∙
09/17/2019
Properties of Laplacian Pyramids for Extension and Denoising
We analyze the Laplacian pyramids algorithm of Rabin and Coifman for ext...
research
∙
04/26/2019
Evaluating the boundary and Stieltjes transform of limiting spectral distributions for random matrices with a separable variance profile
We present numerical algorithms for solving two problems encountered in ...
research
∙
03/12/2019
Multi-target detection with application to cryo-electron microscopy
We consider the multi-target detection problem of recovering a set of si...
research
∙
02/25/2019
Matrix denoising for weighted loss functions and heterogeneous signals
We consider the problem of recovering a low-rank matrix from a noisy obs...
research
∙
11/06/2018
Optimal singular value shrinkage with noise homogenization
We derive the optimal singular values for prediction in the spiked model...
research
∙
09/29/2018
Toward single particle reconstruction without particle picking: Breaking the detection limit
Single-particle cryo-electron microscopy (cryo-EM) has recently joined X...
research
∙
11/14/2017