no code implementations • 1 May 2024 • Yu-Zhen Janice Chen, Jinhang Zuo, Venugopal V. Veeravalli, Don Towsley
This work studies a QCD problem where the change is either a bad change, which we aim to detect, or a confusing change, which is not of our interest.
no code implementations • 12 Jul 2023 • Yu-Zhen Janice Chen, Daniel S. Menasché, Don Towsley
We study sensor/agent data collection and collaboration policies for parameter estimation, accounting for resource constraints and correlation between observations collected by distinct sensors/agents.
no code implementations • 15 Feb 2023 • Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
We propose ODC, an on-demand communication protocol that tailors the communication of each pair of agents based on their empirical pull times.
no code implementations • 31 May 2022 • Yu-Zhen Janice Chen, Daniel S. Menasche, Don Towsley
We study how the amount of correlation between observations collected by distinct sensors/learners affects data collection and collaboration strategies by analyzing Fisher information and the Cramer-Rao bound.
no code implementations • 23 Jan 2022 • Lin Yang, Yu-Zhen Janice Chen, Mohammad Hajiesmaili, John CS Lui, Don Towsley
The goal for each agent is to find its optimal local arm, and agents can cooperate by sharing their observations with others.
no code implementations • NeurIPS 2021 • Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley
This paper studies a cooperative multi-armed bandit problem with $M$ agents cooperating together to solve the same instance of a $K$-armed stochastic bandit problem with the goal of maximizing the cumulative reward of agents.
1 code implementation • 7 Oct 2018 • Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui, Konstantin Avrachenkov
The number of each graphlet, called graphlet count, is a signature which characterizes the local network structure of a given graph.