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20182022
most citedAlgorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing

6 citations · 10 across the 8 of their papers we have counts for

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cs.IT2022

Entropic CLT for Order Statistics

Martina Cardone, Alex Dytso, Cynthia Rush

It is well known that central order statistics exhibit a central limit behavior and converge to a Gaussian distribution as the sample size grows. This paper strengthens this known…

cs.IT20211 cited

The Most Informative Order Statistic and its Application to Image Denoising

Alex Dytso, Martina Cardone, Cynthia Rush

We consider the problem of finding the subset of order statistics that contains the most information about a sample of random variables drawn independently from some known parametr…

cs.IT2020

Unsourced Random Access with Coded Compressed Sensing: Integrating AMP and Belief Propagation

Vamsi K. Amalladinne, Asit Kumar Pradhan, Cynthia Rush +2

Sparse regression codes with approximate message passing (AMP) decoding have gained much attention in recent times. The concepts underlying this coding scheme extend to unsourced r…

cs.IT2020

Measuring Dependencies of Order Statistics: An Information Theoretic Perspective

Alex Dytso, Martina Cardone, Cynthia Rush

Consider a random sample drawn independently and identically distributed from some known sampling distribution . Let $X_{(1)} \le X_{(2)} \le ... \le X_…

cs.IT2020

All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation

Jean Barbier, Nicolas Macris, Cynthia Rush

We determine statistical and computational limits for estimation of a rank-one matrix (the spike) corrupted by an additive gaussian noise matrix, in a sparse limit, where the under…

cs.IT2020

mmWave Channel Estimation via Approximate Message Passing with Side Information

Dror Baron, Cynthia Rush, Yavuz Yapici

This work considers millimeter-wave channel estimation in a setting where parameters of the underlying mmWave channels are varying dynamically over time and there is a single drift…