Yijin Ren

Accelerated Distance-adaptive Methods for Hölder Smooth and Convex Optimization

This paper introduces new parameter-free first-order methods for convex optimization problems in which the objective function exhibits Hölder smoothness. Inspired by the recently proposed distance-over-gradient (DOG) technique, we propose an accelerated distance-adaptive method which achieves optima…