publications

2024

  1. Distribution shift
    Distributionally robust risk evaluation with an isotonic constraint
    Yu Gui, Rina Foygel Barber, and Cong Ma
    arXiv preprint arXiv:2407.06867, 2024
  2. Selective inference
    Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
    Yu Gui*, Ying Jin*, and Zhimei Ren*
    Advances in Neural Information Processing Systems (NeurIPS), 2024
  3. UQ
    Conformal Prediction: A Data Perspective
    Xiaofan Zhou, Baiting Chen, Yu Gui, and Lu Cheng
    arXiv preprint arXiv:2410.06494, 2024

2023

  1. ML theory
    Unraveling Projection Heads in Contrastive Learning: Insights from Expansion and Shrinkage
    Yu Gui, Cong Ma, and Yiqiao Zhong
    arXiv preprint arXiv:2306.03335, 2023
  2. UQ
    Conformalized matrix completion
    Yu Gui, Rina Barber, and Cong Ma
    Advances in Neural Information Processing Systems (NeurIPS), 2023

2022

  1. UQ
    Conformalized survival analysis with adaptive cut-offs
    Yu Gui*, Rohan Hore*, Zhimei Ren*, and Rina Foygel Barber
    Biometrika (2024), 2022

2020

  1. Selective inference
    NGM: Neural Gaussian Mirror for Controlled Feature Selection in Neural Networks
    Xin Xing*, Yu Gui*, Chenguang Dai, and Jun S Liu
    In 2020 19th IEEE International Conference on Machine Learning and Applications , 2020
* = alphabetical ordering or equal contribution