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cs.IT2023
Sparse Recovery with Shuffled Labels: Statistical Limits and Practical Estimators
Hang Zhang, Ping Li
This paper considers the sparse recovery with shuffled labels, i.e., $\by = \bPitrue \bX \bbetatrue + \bw$, where $\by \in \RR^n$, $\bPi\in \RR^{n\times n}$, $\bX\in \RR^{n\times p…
cs.IT2022
A Density Evolution framework for Preferential Recovery of Covariance and Causal Graphs from Compressed Measurements
Muralikrishnna G. Sethuraman, Hang Zhang, Faramarz Fekri
In this paper, we propose a general framework for designing sensing matrix , for estimation of sparse covariance matrix from compressed m…