A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
Human faces are neither exactly Lambertian nor entirely convex and hence most models in literature which make the Lambertian assumption, fall short when dealing with specularities...
Angelos Barmpoutis, Ritwik Kumar, Baba C. Vemuri, ...
The group Lasso is an extension of the Lasso for feature selection on (predefined) non-overlapping groups of features. The non-overlapping group structure limits its applicability...
We consider bandit problems involving a large (possibly infinite) collection of arms, in which the expected reward of each arm is a linear function of an r-dimensional random vect...
We present several new characterizations of correlated equilibria in games with continuous utility functions. These have the advantage of being more computationally and analytical...
Noah D. Stein, Pablo A. Parrilo, Asuman E. Ozdagla...