3 citations · 3 across the 6 of their papers we have counts for
6 papers
A Variance-Reduced Aggregation Based Gradient Tracking method for Distributed Optimization over Directed Networks
Shengchao Zhao, Siyuan Song, Yongchao Liu
This paper studies the distributed optimization problem over directed networks with noisy information-sharing. To resolve the imperfect communication issue over directed networks,…
Numerical Methods for Distributed Stochastic Compositional Optimization Problems with Aggregative Structure
Shengchao Zhao, Yongchao Liu
The paper studies the distributed stochastic compositional optimization problems over networks, where all the agents' inner-level function is the sum of each agent's private expect…
Distributed Stochastic Compositional Optimization Problems over Directed Networks
Shengchao Zhao, Yongchao Liu
We study the distributed stochastic compositional optimization problems over directed communication networks in which agents privately own a stochastic compositional objective func…
Stochastic Approximation Based Confidence Regions for Stochastic Variational Inequalities
Wuwenqing Yan, Yongchao Liu
The sample average approximation (SAA) and the stochastic approximation (SA) are two popular schemes for solving the stochastic variational inequalities problem (SVIP). In the past…
Asymptotic Properties of - Method with Diminishing Stepsize
Shengchao Zhao, Yongchao Liu
The popular /push-pull method for distributed optimization problem may unify much of the existing decentralized first-order methods based on gradient tracking techniq…
Asymptotic properties of dual averaging algorithm for constrained distributed stochastic optimization
Shengchao Zhao, Xing-Min Chen, Yongchao Liu
Considering the constrained stochastic optimization problem over a time-varying random network, where the agents are to collectively minimize a sum of objective functions subject t…