Robust computation of linear models, or How to find a needle in a haystack - Gilad Lerman; Michael B. McCoy; Joel A. Tropp; Teng Zhang 002 (CoRR, 2012)

Sharp recovery bounds for convex deconvolution, with applications - Michael B. McCoy; Joel A. Tropp (CoRR, 2012)

The achievable performance of convex demixing. - Michael B. McCoy; Joel A. Tropp (CoRR, 2013)

Living on the edge: A geometric theory of phase transitions in convex optimization - Dennis Amelunxen; Martin Lotz; Michael B. McCoy; Joel A. Tropp (CoRR, 2013)

From Steiner Formulas for Cones to Concentration of Intrinsic Volumes. - Michael B. McCoy; Joel A. Tropp (Discret. Comput. Geom., 2014)

Sharp Recovery Bounds for Convex Demixing, with Applications. - Michael B. McCoy; Joel A. Tropp (Found. Comput. Math., 2014)

Convexity in Source Separation : Models, geometry, and algorithms. - Michael B. McCoy; Volkan Cevher; Quoc Tran-Dinh; Afsaneh Asaei; Luca Baldassarre (IEEE Signal Process. Mag., 2014)

Robust Computation of Linear Models by Convex Relaxation. - Gilad Lerman; Michael B. McCoy; Joel A. Tropp; Teng Zhang 002 (Found. Comput. Math., 2015)

Concentration of the Intrinsic Volumes of a Convex Body. - Martin Lotz; Michael B. McCoy; Ivan Nourdin; Giovanni Peccati; Joel A. Tropp (CoRR, 2018)