129 citations · 372 across the 27 of their papers we have counts for
5 papers · 1 filter
RLC Circuits based Distributed Mirror Descent Method
Yue Yu, Behçet Açıkmeşe
We consider distributed optimization with smooth convex objective functions defined on an undirected connected graph. Inspired by mirror descent mehod and RLC circuits, we propose…
DAG-GNN: DAG Structure Learning with Graph Neural Networks
Yue Yu, Jie Chen, Tian Gao +1
Learning a faithful directed acyclic graph (DAG) from samples of a joint distribution is a challenging combinatorial problem, owing to the intractable search space superexponential…
Tolling for Constraint Satisfaction in Markov Decision Process Congestion Games
Sarah H. Q. Li, Yue Yu, Daniel Calderone +2
Markov decision process (MDP) congestion game is an extension of classic congestion games, where a continuous population of selfish agents solves Markov decision processes with con…
Stochastic Bregman Parallel Direction Method of Multipliers for Distributed Optimization
Yue Yu, Behçet Açıkmeşe
Bregman parallel direction method of multipliers (BPDMM) efficiently solves distributed optimization over a network, which arises in a wide spectrum of collaborative multi-agent le…
Exploring Fast and Communication-Efficient Algorithms in Large-scale Distributed Networks
Yue Yu, Jiaxiang Wu, Junzhou Huang
The communication overhead has become a significant bottleneck in data-parallel network with the increasing of model size and data samples. In this work, we propose a new algorithm…