Abstract. We consider sensitivity functionals and Lagrange multiplier method for solving finite dimensional convex optimization problem.An analysis based on this property is also applied for ...

Francis Bach, Rodolphe Jenatton, Julien Mairal, Guillaume Obozinski, Structured Sparsity through Convex Optimization, Statistical Science, Vol. 27, No. 4, Special Issue on Sparsity and Regularization ...

where \(\mathsf{G}(\cdot)\) is some convex operator and \(\mathcal{F}\) is as set of feasible input distributions. Examples of such an optimization problem include finding capacity in information ...

This talk presents the latest developments on convex liftings, a tool belonging to the class of lift-and-project techniques with various applications in control engineering. According to the latest ...