Preprints and Submissions
Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits
Zixin Zhong, Wang Chi Cheung and Vincent Y. F. Tan
Submitted to the Transactions on Machine Learning Research, Jun 2023
Federated Best Arm Identification with Heterogeneous Clients
Zhirui Chen, P. N. Karthik, Vincent Y. F. Tan, and Yeow Meng Chee
Submitted to the IEEE Transactions on Information Theory, May 2023
BLINK: Link Local Differential Privacy for Graph Neural Networks via Bayesian Estimation
Xiaochen Zhu, Vincent Y. F. Tan, and Xiaokui Xiao
Submitted, May 2023
An Acceleration and Load-dependent Electric Vehicle Routing Problem
Jingyi Zhao, Weiquan Wang, Vincent Y. F. Tan, Zhenzhen Zhang, and Yeow Meng Chee
Submitted to International Journal of Production Research, May 2023
Deep Unrolling for Nonconvex Robust Principal Component Analysis
Elizabeth Z. C. Tan, Caroline Chaux, Emmanuel Soubies, and Vincent Y. F. Tan
Submitted, Apr 2023
Understanding and Mitigating Dimensional Collapse in Federated Learning
Yujun Shi, Jian Liang, Wenqing Zhang, Chuhui Xue, Vincent Y. F. Tan, and Song Bai
Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence, Mar 2023
Codes for Correcting Asymmetric Adjacent Transpositions and Deletions
Shuche Wang, Vu Van Khu and Vincent Y. F. Tan
Submitted to the IEEE Journal on Selected Areas in Information Theory (JSAIT), Jan 2023, Revised Apr 2023
A hybrid genetic search and dynamic programming-based split algorithm for the multi-trip time-dependent vehicle routing problem
Jingyi Zhao, Mark Poon, Vincent Y. F. Tan, and Zhenzhen Zhang
Submitted to Transportation Science, Jan 2023
Corrections to "Equivocations, Exponents and Second-Order Coding Rates under Various Rényi Information Measures"
Masahito Hayashi and Vincent Y. F. Tan
Submitted to IEEE Transactions on Information Theory, Dec 2022, Revised May 2023
Optimal Clustering with Bandit Feedback [Slides] [Video]
Junwen Yang, Zixin Zhong, and Vincent Y. F. Tan
Submitted to the Journal of Machine Learning Research, Sep 2022
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