Vincent Y. F. Tan 陈延福 (Pronouns: he/him/his/他)

Images courtesy of Dave Lee (UCO, NUS)

Department of Mathematics,
Department of Electrical and Computer Engineering (ECE),
National University of Singapore (NUS)

Institute of Operations Research and Analytics (IORA),
Institute of Data Science (IDS)

Office: S17-05-20 (Mathematics) and E4-06-06 (ECE)
Phone: (65) 6516-2133
Email: vtan @ nus. edu. sg

My Curriculum Vitae.
My Google Scholar Profile.
My Erdős number is 3 (Tan -> Willsky -> Bollobás -> Erdős).

News (Archive)

Research Interests and Open Positions

Information Theory
Machine Learning
Statistical Signal Processing

I am actively recruiting graduate students in the areas of my research interest above. There are various channels to be admitted to NUS including to the Faculty of Engineering, the Faculty of Science, the Institute of Operations Research and Analytics, the Institute of Data Science, or the Asian Institute of Digital Finance.

There are also multiple positions for talented postdoctoral scholars. Postdoctoral scholars with strong publication records and showing interest in the above research topics are also encouraged to contact me to check with me if there are available positions. Please see this advertisement as well as this.

Selected Recent Publications

  1. Probably Anytime-Safe Stochastic Combinatorial Semi-Bandits
    Yunlong Hou, Vincent Y. F. Tan, and Zixin Zhong
    Proc. of the 40th International Conference on Machine Learning (ICML), Hawaii, Jul 2023 (AR: 1827/6538 ≈ 27.9%)

  2. Communication-Constrained Bandits under Additive Gaussian Noise
    Prathamesh Mayekar, Jonathan Scarlett, and Vincent Y. F. Tan
    Proc. of the 40th International Conference on Machine Learning (ICML), Hawaii, Jul 2023 (AR: 1827/6538 ≈ 27.9%)

  3. Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
    Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Y. F. Tan, and Song Bai
    Proc. of the 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 2023 (AR ≈ 31.8%)

  4. How Does Pseudo-Labeling Affect the Generalization Error of the Semi-Supervised Gibbs Algorithm?
    Haiyun He, Gholamali Aminian, Yuheng Bu, Miguel R. D. Rodrigues, and Vincent Y. F. Tan
    Proc. of 26th International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, Apr 2023 (AR ≈ 29%)

  5. Almost Cost-Free Communication in Federated Best Arm Identification
    Kota Srinivas Reddy, P. N. Karthik, and Vincent Y. F. Tan
    Proc. of the 37th AAAI Conference on Artificial Intelligence (AAAI), Washington DC, USA, Feb 2023 (AR: 1721/8777 ≈ 19.6%)

Oldies But Goldies

  1. Information Spectrum Approach to Strong Converse Theorems for Degraded Wiretap Channels
    Vincent Y. F. Tan and Matthieu R. Bloch
    IEEE Transactions on Information Forensics and Security, Vol. 10, No. 9, Pages 1891 - 1904, Sep 2015

  2. Asymptotic Estimates in Information Theory with Non-Vanishing Error Probabilities
    Vincent Y. F. Tan
    Foundations and Trends® in Communications and Information Theory, Vol. 11, Nos. 1-2, Pages 1 – 184, 2014

  3. Automatic Relevance Determination in Nonnegative Matrix Factorization with the β-Divergence [Slides] [Code]
    Vincent Y. F. Tan and Cédric Févotte
    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 35, No. 7, Pages 1592 - 1605, Jul 2013

  4. A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures [Slides]
    Vincent Y. F. Tan, Animashree Anandkumar, Lang Tong and Alan S. Willsky
    IEEE Transactions on Information Theory, Vol. 57, No. 3, Pages 1714 - 1735, Mar 2011

  5. Estimating Signals with Finite Rate of Innovation from Noisy Samples: A Stochastic Algorithm [Code]
    Vincent Y. F. Tan and Vivek K Goyal
    IEEE Transactions on Signal Processing, Vol. 56, Issue 10, No. 5135 - 5145, Oct 2008