10 citations · 13 across the 3 of their papers we have counts for
3 papers
math.OC2016★ 2 cited
Accelerated gradient sliding for structured convex optimization
Guanghui Lan, Yuyuan Ouyang
Our main goal in this paper is to show that one can skip gradient computations for gradient descent type methods applied to certain structured convex programming (CP) problems. To…
math.OC2014★ 1 cited
Fast Bundle-Level Type Methods for unconstrained and ball-constrained convex optimization
Yunmei Chen, Guanghui Lan, Yuyuan Ouyang +1
It has been shown in \cite{Lan13-1} that the accelerated prox-level (APL) method and its variant, the uniform smoothing level (USL) method, have optimal iteration complexity for so…
math.OC2014★ 10 cited
Accelerated Schemes For A Class of Variational Inequalities
Yunmei Chen, Guanghui Lan, Yuyuan Ouyang
We propose a novel method, namely the accelerated mirror-prox (AMP) method, for computing the weak solutions of a class of deterministic and stochastic monotone variational inequal…