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cs.LG2016
Fitting Spectral Decay with the -Support Norm
Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos
The spectral -support norm enjoys good estimation properties in low rank matrix learning problems, empirically outperforming the trace norm. Its unit ball is the convex hull of…
cs.LG2015★ 1 cited
New Perspectives on -Support and Cluster Norms
Andrew M. McDonald, Massimiliano Pontil, Dimitris Stamos
We study a regularizer which is defined as a parameterized infimum of quadratics, and which we call the box-norm. We show that the k-support norm, a regularizer proposed by [Argyri…