Items where Person is "McCoy-M-B"

2017

McCoy, Michael B. and Tropp, Joel A. (2017) The Achievable Performance of Convex Demixing. ACM Technical Reports, 2017-02. California Institute of Technology , Pasadena, CA. doi:10.7907/4KWM-5N31. (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20170314-110228775

2015

Lerman, Gilad and McCoy, Michael B. and Tropp, Joel A. et al. (2015) Robust Computation of Linear Models by Convex Relaxation. Foundations of Computational Mathematics, 15 (2). pp. 363-410. ISSN 1615-3375. https://resolver.caltech.edu/CaltechAUTHORS:20150416-134303719

2014

Amelunxen, Dennis and Lotz, Martin and McCoy, Michael B. et al. (2014) Living on the edge: phase transitions in convex programs with random data. Information and Inference, 3 (3). pp. 224-294. ISSN 2049-8772. https://resolver.caltech.edu/CaltechAUTHORS:20150422-120051110

McCoy, Michael B. and Tropp, Joel A. (2014) From Steiner Formulas for Cones to Concentration of Intrinsic Volumes. Discrete and Computational Geometry, 51 (4). pp. 926-963. ISSN 0179-5376. https://resolver.caltech.edu/CaltechAUTHORS:20140703-103651135

McCoy, Michael B. and Tropp, Joel A. (2014) Sharp Recovery Bounds for Convex Demixing, with Applications. Foundations of Computational Mathematics, 14 (3). pp. 503-567. ISSN 1615-3375. https://resolver.caltech.edu/CaltechAUTHORS:20140606-140701312

McCoy, Michael B. and Cevher, Volkan and Dinh, Quoc Tran et al. (2014) Convexity in Source Separation: Models, geometry, and algorithms. IEEE Signal Processing Magazine, 31 (3). pp. 87-95. ISSN 1053-5888. https://resolver.caltech.edu/CaltechAUTHORS:20140603-135757266

2013

McCoy, Michael B. and Tropp, Joel A. (2013) The achievable performance of convex demixing. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20180831-112130540