18 citations · 149 across the 24 of their papers we have counts for
Showing math.OCShow all
3 papers · 1 filter
math.OC2025
Randomized subspace correction methods for convex optimization
Boou Jiang, Jongho Park, Jinchao Xu
This paper introduces an abstract framework for randomized subspace correction methods for convex optimization, which unifies and generalizes a broad class of existing algorithms,…
math.OC2021★ 3 cited
Fast Gradient Methods for Uniformly Convex and Weakly Smooth Problems
Jongho Park
In this paper, acceleration of gradient methods for convex optimization problems with weak levels of convexity and smoothness is considered. Starting from the universal fast gradie…
math.OC2020★ 8 cited
Accelerated Additive Schwarz Methods for Convex Optimization with Adaptive Restart
Jongho Park
Based on an observation that additive Schwarz methods for general convex optimization can be interpreted as gradient methods, we propose an acceleration scheme for additive Schwarz…