Ben Dai

Assistant Professor at The Chinese University of Hong Kong.


My name is Ben Dai (戴奔). I’m an Assistant Professor in the Department of Statistics at The Chinese University of Hong Kong. My primary research interests include statistical consistency, theory-driven machine learning methods, theoretical foundation of machine learning, black-box significance testing, statistical computing and software development.


Jan 1, 2024 I am currently engaged in the SToAT project, where we are recruiting students to work as short-term RAs for the development of open-source statistical toolkits.
Nov 6, 2023 The ML algorithm ReHLine that we recently developed has been accepted for publication at NeurIPS 2023.

selected publications [all papers]

  1. CLeaR
    Inference of Nonlinear Causal Effects with Application to TWAS with GWAS Summary Data
    Ben Dai*, Chunlin Li*, Haoran Xue, Wei Pan, and Xiaotong Shen
    In Proceedings of the Third Conference on Causal Learning and Reasoning, PMLR, 2024
  2. NeurIPS
    ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
    Ben Dai*, and Yixuan Qiu*
    In Thirty-seventh Conference on Neural Information Processing Systems, 2023
  3. JMLR
    RankSEG: A Consistent Ranking-based Framework for Segmentation
    Ben Dai, and Chunlin Li
    Journal of Machine Learning Research, 2023
    Significance tests of feature relevance for a black-box learner
    Ben Dai, Xiaotong Shen, and Wei Pan
    IEEE Transactions on Neural Networks and Learning Systems, 2022
  5. JASA
    Embedding learning
    Ben Dai, Xiaotong Shen, and Junhui Wang
    Journal of the American Statistical Association, 2022