2.1k citations · 4.6k across the 69 of their papers we have counts for
Showing 2016 · cs.ITShow all
3 papers · 2 filters
cs.IT2016★ 55 cited
Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation
Sohail Bahmani, Justin Romberg
We propose a flexible convex relaxation for the phase retrieval problem that operates in the natural domain of the signal. Therefore, we avoid the prohibitive computational cost as…
cs.IT2016★ 4 cited
Empirical Chaos Processes and Blind Deconvolution
Ali Ahmed, Felix Krahmer, Justin Romberg
This paper investigates conditions under which certain kinds of systems of bilinear equations have a unique structured solution. In particular, we look at when we can recover vecto…
cs.IT2016★ 458 cited
An overview of low-rank matrix recovery from incomplete observations
Mark A. Davenport, Justin Romberg
Low-rank matrices play a fundamental role in modeling and computational methods for signal processing and machine learning. In many applications where low-rank matrices arise, thes…