9 citations · 47 across the 24 of their papers we have counts for
25 papers
Revealing Strategic Interactions in Network Games Under Decaying Active Probing
Xiaoyu Xin, Longxu Zhang, Jinlong Lei +1
Revealing the interaction topology underlying strategic behavior is fundamental to prediction, intervention, and policy design in networked systems. Yet the interaction matrix is o…
Distributed Fractional Bayesian Learning for Adaptive Optimization
Yaqun Yang, Jinlong Lei, Guanghui Wen +1
This paper considers a distributed adaptive optimization problem, where all agents only have access to their local cost functions with a common unknown parameter, whereas they mean…
Online Parameter Identification of Generalized Non-cooperative Game
Jianguo Chen, Jinlong Lei, Hongsheng Qi +1
This work studies the parameter identification problem of a generalized non-cooperative game, where each player's cost function is influenced by an observable signal and some unkno…
A Distributed Iterative Tikhonov Method for Networked Monotone Aggregative Hierarchical Stochastic Games
Jinlong Lei, Uday V. Shanbhag, Jie Chen
We consider a class of nonsmooth aggregative games over networks in stochastic regimes, where each player is characterized by a composite cost function , is a smooth…
Distributed Non-Bayesian Learning for Games with Incomplete Information
Shijie Huang, Jinlong Lei, Yiguang Hong
We consider distributed learning problem in games with an unknown cost-relevant parameter, and aim to find the Nash equilibrium while learning the true parameter. Inspired by the s…
No-Regret Learning in Network Stochastic Zero-Sum Games
Shijie Huang, Jinlong Lei, Yiguang Hong
No-regret learning has been widely used to compute a Nash equilibrium in two-person zero-sum games. However, there is still a lack of regret analysis for network stochastic zero-su…
Distributed coordination for seeking the optimal Nash equilibrium of aggregative games
Xiaoyu Ma, Jinlong Lei, Peng Yi +1
This paper aims to design a distributed coordination algorithm for solving a multi-agent decision problem with a hierarchical structure. The primary goal is to search the Nash equi…
No-regret learning for repeated non-cooperative games with lossy bandits
Wenting Liu, Jinlong Lei, Peng Yi +1
This paper considers no-regret learning for repeated continuous-kernel games with lossy bandit feedback. Since it is difficult to give the explicit model of the utility functions i…
Distributed Policy Gradient with Variance Reduction in Multi-Agent Reinforcement Learning
Xiaoxiao Zhao, Jinlong Lei, Li Li +1
This paper studies a distributed policy gradient in collaborative multi-agent reinforcement learning (MARL), where agents over a communication network aim to find the optimal polic…
No-regret distributed learning in subnetwork zero-sum games
Shijie Huang, Jinlong Lei, Yiguang Hong +2
In this paper, we consider a distributed learning problem in a subnetwork zero-sum game, where agents are competing in different subnetworks. These agents are connected through tim…
Distributed Variable Sample-size Stochastic Optimization with Fixed Step-sizes
Jinlong Lei, Peng Yi, Jie Chen +1
The paper considers distributed stochastic optimization over randomly switching networks, where agents collaboratively minimize the average of all agents' local expectation-valued…
Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose
Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee
Most of the recent deep learning-based 3D human pose and mesh estimation methods regress the pose and shape parameters of human mesh models, such as SMPL and MANO, from an input im…
Variance-Reduced Accelerated First-order Methods: Central Limit Theorems and Confidence Statements
Jinlong Lei, Uday V. Shanbhag
In this paper, we study a stochastic strongly convex optimization problem and propose three classes of variable sample-size stochastic first-order methods including the standard st…
Linearly Convergent Algorithm with Variance Reduction for Distributed Stochastic Optimization
Jinlong Lei, Peng Yi, Jie Chen +1
This paper considers a distributed stochastic strongly convex optimization, where agents connected over a network aim to cooperatively minimize the average of all agents' local cos…
Dynamical Primal-Dual Accelerated Method with Applications to Network Optimization
Xianlin Zeng, Jinlong Lei, Jie Chen
This paper develops a continuous-time primal-dual accelerated method with an increasing damping coefficient for a class of convex optimization problems with affine equality constra…
Distributed Variable Sample-Size Gradient-response and Best-response Schemes for Stochastic Nash Equilibrium Problems over Graphs
Jinlong Lei, Uday V. Shanbhag
This paper considers a stochastic Nash game in which each player minimizes an expectation valued composite objective. We make the following contributions. (I) Under suitable monoto…
Linearly Convergent Variable Sample-Size Schemes for Stochastic Nash Games: Best-Response Schemes and Distributed Gradient-Response Schemes
Jinlong Lei, Uday V. Shanbhag
This paper considers an -player stochastic Nash game in which the th player minimizes a composite objective , where is expectation-valued and h…
Data Rates for Network Linear Equations
Jinlong Lei, Peng Yi, Guodong Shi +1
In this paper, we study network linear equations subject to digital communications with a finite data rate, where each node is associated with one equation from a system of linear…
Asynchronous Variance-reduced Block Schemes for Composite Nonconvex Stochastic Optimization: Block-specific Steplengths and Adapted Batch-sizes
Jinlong Lei, Uday V. Shanbhag
We consider the minimization of a sum of an expectation-valued coordinate-wise -smooth nonconvex function and a nonsmooth block-separable convex regularizer. We propose an asy…
Asynchronous Schemes for Stochastic and Misspecified Potential Games and Nonconvex Optimization
Jinlong Lei, Uday V. Shanbhag
The distributed computation of equilibria and optima has seen growing interest in a broad collection of networked problems. We consider the computation of equilibria of convex stoc…
On Synchronous, Asynchronous, and Randomized Best-Response schemes for computing equilibria in Stochastic Nash games
Jinlong Lei, Uday V. Shanbhag, Jong-Shi Pang +1
This work considers a stochastic Nash game in which each player solves a parameterized stochastic optimization problem. In deterministic regimes, best-response schemes have been sh…
Asymptotic Properties of Primal-Dual Algorithm for Distributed Stochastic Optimization Over Random Networks
Jinlong Lei, Han-Fu Chen, Hai-Tao Fang
This paper studies a distributed stochastic optimization problem over random networks with imperfect communications subject to a global constraint, which is the intersection of loc…
Distributed Resource Allocation Over Random Networks Based on Stochastic Approximation
Peng Yi, Jinlong Lei, Yiguang Hong
In this paper, a stochastic approximation (SA) based distributed algorithm is proposed to solve the resource allocation (RA) with uncertainties. In this problem, a group of agents…
Primal-Dual Algorithm for Distributed Constrained Optimization
Jinlong Lei, Han-Fu Chen, Hai-Tao Fang
The paper studies a distributed constrained optimization problem, where multiple agents connected in a network collectively minimize the sum of individual objective functions subje…