3 papers
math.OC2026
Universal and Parameter-free Gradient Sliding for Composite Optimization
Yan Wu, Yuyuan Ouyang, Zhe Zhang +1
We propose a Parameter-Free Universal Gradient Sliding (PFUGS) algorithm for computing an approximate solution to the convex composite optimization ,…
math.OC2026
A Note on the Gradient-Evaluation Sequence in Accelerated Gradient Methods
Yan Wu, Yipeng Zhang, Lu Liu +1
Nesterov's accelerated gradient descent method (AGD) is a seminal deterministic first-order method known to achieve the optimal order of iteration complexity for solving convex smo…
math.OC2024
Optimal and parameter-free gradient minimization methods for convex and nonconvex optimization
Guanghui Lan, Yuyuan Ouyang, Zhe Zhang
We propose novel optimal and parameter-free algorithms for computing an approximate solution with small (projected) gradient norm. Specifically, for computing an approximate soluti…