Max-Linear Regression by Convex Programming
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA
2. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
Funder
NSF CAREER
Semiconductor Research Corporation (SRC) and Defense Advanced Research Projects Agency
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
https://ieeexplore.ieee.org/ielam/18/10438985/10381831-aam.pdf
Reference31 articles.
1. Max-affine regression: Parameter estimation for Gaussian designs
2. Phase retrieval meets statistical learning theory: A flexible convex relaxation;Bahmani,2017
3. Estimation from nonlinear observations via convex programming with application to bilinear regression
4. Solving Equations of Random Convex Functions via Anchored Regression
5. PhaseMax: Convex Phase Retrieval via Basis Pursuit
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