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Items where Person is "McCoy-M-B"

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Number of items: 7.

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 (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20170314-110228775

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

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

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 (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20180831-112130540

This list was generated on Wed Aug 5 09:39:12 2020 PDT.