181 citations · 396 across the 31 of their papers we have counts for
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Corruption Robust Phase Retrieval via Linear Programming
Paul Hand, Vladislav Voroninski
We consider the problem of phase retrieval from corrupted magnitude observations. In particular we show that a fixed can be recovered exactly from corrupted…
A Convex Program for Mixed Linear Regression with a Recovery Guarantee for Well-Separated Data
Paul Hand, Babhru Joshi
We introduce a convex approach for mixed linear regression over features. This approach is a second-order cone program, based on L1 minimization, which assigns an estimate regr…
An Elementary Proof of Convex Phase Retrieval in the Natural Parameter Space via the Linear Program PhaseMax
Paul Hand, Vladislav Voroninski
The phase retrieval problem has garnered significant attention since the development of the PhaseLift algorithm, which is a convex program that operates in a lifted space of matric…
Compressed Sensing from Phaseless Gaussian Measurements via Linear Programming in the Natural Parameter Space
Paul Hand, Vladislav Voroninski
We consider faithfully combining phase retrieval with classical compressed sensing. Inspired by the recent novel formulation for phase retrieval called PhaseMax, we present and ana…
ShapeFit and ShapeKick for Robust, Scalable Structure from Motion
Thomas Goldstein, Paul Hand, Choongbum Lee +2
We introduce a new method for location recovery from pair-wise directions that leverages an efficient convex program that comes with exact recovery guarantees, even in the presence…