2 citations · 2 across the 2 of their papers we have counts for
6 papers
On the Convergence of mSGD and AdaGrad for Stochastic Optimization
Ruinan Jin, Yu Xing, Xingkang He
As one of the most fundamental stochastic optimization algorithms, stochastic gradient descent (SGD) has been intensively developed and extensively applied in machine learning in t…
Event-Triggered Distributed Estimation With Decaying Communication Rate
Xingkang He, Yu Xing, Junfeng Wu +1
We study distributed estimation of a high-dimensional static parameter vector through a group of sensors whose communication network is modeled by a fixed directed graph. Different…
Community Detection for Gossip Dynamics with Stubborn Agents
Yu Xing, Xingkang He, Haitao Fang +1
We consider a community detection problem for gossip dynamics with stubborn agents in this paper. It is assumed that the communication probability matrix for agent pairs has a bloc…
Linear System Identification Under Multiplicative Noise from Multiple Trajectory Data
Yu Xing, Ben Gravell, Xingkang He +2
The study of multiplicative noise models has a long history in control theory but is re-emerging in the context of complex networked systems and systems with learning-based control…
Recursive Network Estimation From Binary-Valued Observation Data
Yu Xing, Xingkang He, Haitao Fang +1
This paper studies the problem of recursively estimating the weighted adjacency matrix of a network out of a temporal sequence of binary-valued observations. The observation sequen…
A Strategic Learning Algorithm for State-based Games
Changxi Li, Yu Xing, Fenghua He +1
Learning algorithm design for state-based games is investigated. A heuristic uncoupled learning algorithm, which is a two memory better reply with inertia dynamics, is proposed. Un…