publications

2025

  1. Selective inference
    ACS: An interactive framework for conformal selection
    Yu Gui*, Ying Jin*, Yash Nair*, and Zhimei Ren*
    arXiv preprint arXiv:2507.15825, 2025
    arXiv Code
  2. Multi-modal
    IndiSeek learns information-guided disentangled representations
    Yu Gui, Cong Ma, and Zongming Ma
    arXiv preprint arXiv:2509.21584, 2025
    arXiv
  3. Multi-modal
    Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
    Yu Gui, Cong Ma, and Zongming Ma
    Advances in Neural Information Processing Systems (NeurIPS), accepted, 2025
    arXiv
  4. UQ
    Statistical Equilibrium of Optimistic Beliefs
    Yu Gui, and Bahar Taşkesen
    arXiv preprint arXiv:2502.09569, 2025
    arXiv

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
    arXiv Code
  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
    arXiv Code Poster
  3. UQ
    Conformal Prediction: A Data Perspective
    Xiaofan Zhou, Baiting Chen, Yu Gui, and Lu Cheng
    ACM Computing Surveys, accepted, 2024
    arXiv

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
    arXiv Poster
  2. UQ
    Conformalized matrix completion
    Yu Gui, Rina Barber, and Cong Ma
    Advances in Neural Information Processing Systems (NeurIPS), 2023
    arXiv HTML Code Poster

2022

  1. UQ
    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. 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
    arXiv HTML
* = alphabetical ordering or equal contribution