41 citations · 84 across the 20 of their papers we have counts for
8 papers · 1 filter
Non-convex potential games for finding global solutions to sensor network localization
Gehui Xu, Guanpu Chen, Yiguang Hong +3
Sensor network localization (SNL) problems require determining the physical coordinates of all sensors in a network. This process relies on the global coordinates of anchors and th…
Equalizer zero-determinant strategy in discounted repeated Stackelberg asymmetric game
Zhaoyang Cheng, Guanpu Chen, Yiguang Hong
This paper focuses on the performance of equalizer zero-determinant (ZD) strategies in discounted repeated Stackerberg asymmetric games. In the leader-follower adversarial scenario…
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…
Online Game with Time-Varying Coupled Inequality Constraints
Min Meng, Xiuxian Li, Yiguang Hong +2
In this paper, online game is studied, where at each time, a group of players aim at selfishly minimizing their own time-varying cost function simultaneously subject to time-varyin…
Distributed Online Convex Optimization with Adversarial Constraints: Reduced Cumulative Constraint Violation Bounds under Slater's Condition
Xinlei Yi, Xiuxian Li, Tao Yang +4
This paper considers distributed online convex optimization with adversarial constraints. In this setting, a network of agents makes decisions at each round, and then only a portio…
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…