58 citations · 158 across the 22 of their papers we have counts for
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math.OC2019★ 2 cited
Unified Acceleration of High-Order Algorithms under Hölder Continuity and Uniform Convexity
Chaobing Song, Yong Jiang, Yi Ma
In this paper, through a very intuitive vanilla proximal method perspective, we derive accelerated high-order optimization algorithms for minimizing a convex function that has Höld…
math.OC2019★ 3 cited
Inexact Proximal Cubic Regularized Newton Methods for Convex Optimization
Chaobing Song, Ji Liu, Yong Jiang
In this paper, we use Proximal Cubic regularized Newton Methods (PCNM) to optimize the sum of a smooth convex function and a non-smooth convex function, where we use inexact gradie…