New Penalized Stochastic Gradient Methods for Linearly Constrained Strongly Convex Optimization

Meng Li, Paul Grigas, Alper Atamturk

For minimizing a strongly convex objective function subject to linear inequality constraints, we consider a penalty approach that allows one to utilize stochastic methods for probl…