Yu-Zhen Janice Chen

According to our database, Yu-Zhen Janice Chen authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quickest Change Detection with Confusing Change.

Yu-Zhen Janice Chen, Jinhang Zuo, Venugopal V. Veeravalli, Don Towsley

CoRR, 2024

2023

Learning With Guarantee Via Constrained Multi-Armed Bandit: Theory and Network Applications.

Kechao Cai, Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui

IEEE Trans. Mob. Comput., September, 2023

Quantum Best Arm Identification.

Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley

SIGMETRICS Perform. Evaluation Rev., September, 2023

On Collaboration in Distributed Parameter Estimation with Resource Constraints.

Yu-Zhen Janice Chen, Daniel S. Menasché, Don Towsley

CoRR, 2023

Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits?

Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits.

Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On-Demand Communication for Asynchronous Multi-Agent Bandits.

Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Hierarchical Learning Algorithms for Multi-scale Expert Problems.

Lin Yang, Yu-Zhen Janice Chen, Mohammad H. Hajiesmaili, Mark Herbster, Don Towsley

Proc. ACM Meas. Anal. Comput. Syst., 2022

Distributed Bandits with Heterogeneous Agents.

Lin Yang, Yu-Zhen Janice Chen, Mohammad Hassan Hajiesmaili, John C. S. Lui, Don Towsley

Proceedings of the IEEE INFOCOM 2022, 2022

2021

Learning to count: A deep learning framework for graphlet count estimation.

Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui, Konstantin Avrachenkov

Netw. Sci., October, 2021

Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback.

Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

To Collaborate or Not in Distributed Statistical Estimation with Resource Constraints?

Yu-Zhen Janice Chen, Daniel S. Menasché, Don Towsley

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2018

Graphlet Count Estimation via Convolutional Neural Networks.

Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui, Konstantin Avrachenkov

CoRR, 2018

An Online Learning Approach to Network Application Optimization with Guarantee.

Kechao Cai, Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018