What are some recent advances in non-convex optimization research? This question was originally answered on Quora by Anima Anandkumar.

Course Description This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; ...

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 ...

IEMS 459: Convex Optimization VIEW ALL COURSE TIMES AND SESSIONS Prerequisites Linear Algebra, Calculus , Real Analysis Description The goal of this course is to investigate in-depth and to develop ...

In particular, we show that the reformulation of the Kiefer–Wolfowitz estimator as a convex optimization problem reduces the computational effort by several orders of magnitude for typical problems, ...

Robert V. Namm ᵃ, Gyungsoo Woo ᵇ, Sensitivity Functionals in Convex Optimization Problem, Filomat, Vol. 30, No. 14 (2016), pp. 3681-3687 ...