13 citations · 25 across the 6 of their papers we have counts for
5 papers · 1 filter
Riemannian Optimistic Algorithms
Xi Wang, Deming Yuan, Yiguang Hong +3
In this paper, we consider Riemannian online convex optimization with dynamic regret. First, we propose two novel algorithms, namely the Riemannian Online Optimistic Gradient Desce…
Improved Dynamic Regret of Distributed Online Multiple Frank-Wolfe Convex Optimization
Wentao Zhang, Yang Shi, Baoyong Zhang +1
In this paper, we consider a distributed online convex optimization problem over a time-varying multi-agent network. The goal of this network is to minimize a global loss function…
Towards Online Optimization for Power Grids
Deming Yuan, Abhishek Bhardwaj, Ian Petersen +2
In this note, we discuss potential advantages in extending distributed optimization frameworks to enhance support for power grid operators managing an influx of online sequential d…
Distributed Mirror Descent for Online Composite Optimization
Deming Yuan, Yiguang Hong, Daniel W. C. Ho +1
In this paper, we consider an online distributed composite optimization problem over a time-varying multi-agent network that consists of multiple interacting nodes, where the objec…
Distributed Randomized Gradient-Free Mirror Descent Algorithm for Constrained Optimization
Zhan Yu, Daniel W. C. Ho, Deming Yuan
This paper is concerned with multi-agent optimization problem. A distributed randomized gradient-free mirror descent (DRGFMD) method is developed by introducing a randomized gradie…