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math.OC2021★ 1 cited
On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization
Jinshan Zeng, Yixuan Zha, Ke Ma +1
The low-rank stochastic semidefinite optimization has attracted rising attention due to its wide range of applications. The nonconvex reformulation based on the low-rank factorizat…
math.OC2018
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction
Jinshan Zeng, Ke Ma, Yuan Yao
There is a recent surge of interest in nonconvex reformulations via low-rank factorization for stochastic convex semidefinite optimization problem in the purpose of efficiency and…