This work establishes provably faster convergence rates for gradient des...
We consider (stochastic) subgradient methods for strongly convex but
pot...
We consider feasibility and constrained optimization problems defined ov...
Unlike nonconvex optimization, where gradient descent is guaranteed to
c...
Minimax optimization has become a central tool for modern machine learni...
In this paper, we show that the bundle method can be applied to solve
se...
We generalize the classic convergence rate theory for subgradient method...