publications

2024

  1. Distributionally robust risk evaluation with an isotonic constraint
    Yu Gui, Rina Foygel Barber, and Cong Ma
    arXiv preprint arXiv:2407.06867, 2024
    arXiv Code
  2. Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
    Yu Gui*, Ying Jin*, and Zhimei Ren*
    arXiv preprint arXiv:2405.10301, 2024
    arXiv

2023

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

2022

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

2020

  1. 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 (ICMLA) , 2020
    arXiv HTML
* = alphabetical ordering or equal contribution