Vincent Y. F. Tan

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Preprints and Submissions

  1. Finite-Time Information-Theoretic Bounds in Queueing Control
    Yujie Liu, Vincent Y. F. Tan, and Yunbei Xu
    Jun 2024

  2. Error Analyses of Auto-Regressive Video Diffusion Models: A Unified Framework [Project Page]
    Jing Wang, Fengzhuo Zhang, Xiaoli Li, Vincent Y. F. Tan, Tianyu Pang, Chao Du, Aixin Sun, and Zhuoran Yang
    Submitted, Mar 2024

  3. Low Tensor-Rank Adaptation of Kolmogorov--Arnold Networks
    Yihang Gao, Michael Kwok-Po Ng, and Vincent Y. F. Tan
    Submitted to the IEEE Transactions on Signal Processing, Feb 2024, Revised

  4. Ensemble-Tight Second-Order Asymptotics and Exponents for Guessing-Based Decoding with Abandonment
    Vincent Y. F. Tan and Hamdi Joudeh
    Submitted to the IEEE Transactions on Information Theory, Feb 2024

  5. Enhancing Multi-Text Long Video Generation Consistency without Tuning: Time-Frequency Analysis, Prompt Alignment, and Theory
    Xingyao Li, Fengzhuo Zhang, Jiachun Pan, Yunlong Hou, Vincent Y. F. Tan, and Zhuoran Yang
    Preprint, Dec 2024

  6. Multi-Armed Bandits with Abstention
    Junwen Yang, Tianyuan Jin, and Vincent Y. F. Tan
    Submitted to the IEEE Transactions on Information Theory, Dec 2024

  7. A Sample Efficient Alternating Minimization-based Algorithm For Robust Phase Retrieval
    Adarsh Barik, Anand Krishna, and Vincent Y. F. Tan
    Submitted to the IEEE Transactions on Information Theory, Oct 2024, Revised

  8. On the Convergence of (Stochastic) Gradient Descent for Kolmogorov--Arnold Networks
    Yihang Gao and Vincent Y. F. Tan
    Submitted, Oct 2024, Revised

  9. Best Arm Identification with Minimal Regret
    Junwen Yang, Vincent Y. F. Tan, and Tianyuan Jin
    Submitted to the Journal on Machine Learning Research, Sep 2024, Under Revision

  10. LEARN: An Invex Loss for Outlier Oblivious Robust Online Optimization
    Adarsh Barik, Anand Krishna, and Vincent Y. F. Tan
    Submitted, Aug 2024