Concepedia

Michael B. McCoy

MB

6

Publications

652

Citations

6

H-Index

2012

Active since

Affiliations

California Institute of Technology(Current)

University of Manchester

Michael B. McCoy is an author at California Institute of Technology specializing in inverse problems, engineering, and convex optimization.

Top concepts

Inverse ProblemsEngineeringConvex OptimizationApproximation TheoryMathematical ProgrammingProbabilityComputer SciencePhase TransitionsConic OptimizationStatistical Inference

Publications per year

2012–2014

6

Publications

6

Living on the edge: phase transitions in convex programs with random data

Dennis Amelunxen, Martin Lötz, Michael B. McCoy et al. · Information and Inference A Journal of the IMA · 2014 · 406 citations · Full text

Mathematical Programming, Conic Optimization, Phase Transitions +15

Sharp Recovery Bounds for Convex Demixing, with Applications

Michael B. McCoy, Joel A. Tropp · Foundations of Computational Mathematics · 2014 · 91 citations

Engineering, Sharp Recovery Bounds, Convex Optimization +4

Convexity in Source Separation : Models, geometry, and algorithms

Michael B. McCoy, Volkan Cevher, Quoc Tran Dinh et al. · IEEE Signal Processing Magazine · 2014 · 53 citations · Full text

The achievable performance of convex demixing

Michael B. McCoy, Joel A. Tropp · arXiv (Cornell University) · 2013 · 41 citations · Full text

Mathematical Programming, Engineering, Convex Hull +17

Sharp recovery bounds for convex deconvolution, with applications

Michael B. McCoy, Joel A. Tropp · arXiv (Cornell University) · 2012 · 31 citations · Full text

Sharp Recovery Bounds, Signal Reconstruction, Inverse Problems +2

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