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ORCIDYu-Zhen Janice Chen
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2020 – today
- 2024
[i6]Yu-Zhen Janice Chen, Jinhang Zuo, Venugopal V. Veeravalli, Don Towsley:
Quickest Change Detection with Confusing Change. CoRR abs/2405.00842 (2024)- 2023
- [j4]Xuchuang Wang, Yu-Zhen Janice Chen, Matheus Guedes de Andrade, Mohammad Hajiesmaili, John C. S. Lui, Don Towsley:
Quantum Best Arm Identification. SIGMETRICS Perform. Evaluation Rev. 51(2): 72-74 (2023) - [j3]Kechao Cai
, Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui:
Learning With Guarantee Via Constrained Multi-Armed Bandit: Theory and Network Applications. IEEE Trans. Mob. Comput. 22(9): 5346-5358 (2023) - [c8]Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley:
On-Demand Communication for Asynchronous Multi-Agent Bandits. AISTATS 2023: 3903-3930 - [c7]Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui:
Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits. ICLR 2023 - [c6]Xuchuang Wang, Lin Yang, Yu-Zhen Janice Chen, Xutong Liu, Mohammad Hajiesmaili, Don Towsley, John C. S. Lui:
Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits? UAI 2023: 2192-2202 - [i5]Yu-Zhen Janice Chen, Lin Yang, Xuchuang Wang, Xutong Liu, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley:
On-Demand Communication for Asynchronous Multi-Agent Bandits. CoRR abs/2302.07446 (2023) - [i4]Yu-Zhen Janice Chen, Daniel S. Menasché, Don Towsley:
On Collaboration in Distributed Parameter Estimation with Resource Constraints. CoRR abs/2307.06442 (2023) - 2022
- [j2]Lin Yang, Yu-Zhen Janice Chen, Mohammad H. Hajiesmaili, Mark Herbster, Don Towsley:
Hierarchical Learning Algorithms for Multi-scale Expert Problems. Proc. ACM Meas. Anal. Comput. Syst. 6(2): 34:1-34:29 (2022) - [c5]Lin Yang, Yu-Zhen Janice Chen, Mohammad Hassan Hajiesmaili, John C. S. Lui, Don Towsley:
Distributed Bandits with Heterogeneous Agents. INFOCOM 2022: 200-209 - [c4]Lin Yang, Yu-Zhen Janice Chen, Mohammad H. Hajiesmaili, Mark Herbster, Don Towsley:
Hierarchical Learning Algorithms for Multi-scale Expert Problems. SIGMETRICS (Abstracts) 2022: 71-72 - [i3]Lin Yang, Yu-Zhen Janice Chen, Mohammad Hassan Hajiesmaili, John C. S. Lui, Don Towsley:
Distributed Bandits with Heterogeneous Agents. CoRR abs/2201.09353 (2022) - [i2]Yu-Zhen Janice Chen, Daniel S. Menasché, Don Towsley:
To Collaborate or Not in Distributed Statistical Estimation with Resource Constraints? CoRR abs/2206.00111 (2022) - 2021
- [j1]Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui, Konstantin Avrachenkov:
Learning to count: A deep learning framework for graphlet count estimation. Netw. Sci. 9(S1): S23-S60 (2021) - [c3]Yu-Zhen Janice Chen, Daniel S. Menasché, Don Towsley:
To Collaborate or Not in Distributed Statistical Estimation with Resource Constraints? CISS 2021: 1-6 - [c2]Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris, Mohammad H. Hajiesmaili, John C. S. Lui, Don Towsley:
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback. NeurIPS 2021: 8885-8897
2010 – 2019
- 2018
- [c1]Kechao Cai, Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui:
An Online Learning Approach to Network Application Optimization with Guarantee. INFOCOM 2018: 2006-2014 - [i1]Xutong Liu, Yu-Zhen Janice Chen, John C. S. Lui, Konstantin Avrachenkov:
Graphlet Count Estimation via Convolutional Neural Networks. CoRR abs/1810.03078 (2018)
Coauthor Index
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