126 citations · 300 across the 23 of their papers we have counts for
25 papers
A Non-asymptotic Analysis of Generalized Approximate Message Passing Algorithms with Right Rotationally Invariant Designs
Collin Cademartori, Cynthia Rush
Approximate Message Passing (AMP) algorithms are a class of iterative procedures for computationally-efficient estimation in high-dimensional inference and estimation tasks. Due to…
Is it easier to count communities than find them?
Cynthia Rush, Fiona Skerman, Alexander S. Wein +1
Random graph models with community structure have been studied extensively in the literature. For both the problems of detecting and recovering community structure, an interesting…
The out-of-sample prediction error of the square-root-LASSO and related estimators
José Luis Montiel Olea, Cynthia Rush, Amilcar Velez +1
We study the classical problem of predicting an outcome variable, , using a linear combination of a -dimensional covariate vector, . We are interested in linear p…
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…
A unifying tutorial on Approximate Message Passing
Oliver Y. Feng, Ramji Venkataramanan, Cynthia Rush +1
Over the last decade or so, Approximate Message Passing (AMP) algorithms have become extremely popular in various structured high-dimensional statistical problems. The fact that th…
Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit
Zhiqi Bu, Jason Klusowski, Cynthia Rush +1
Sorted l1 regularization has been incorporated into many methods for solving high-dimensional statistical estimation problems, including the SLOPE estimator in linear regression. I…