publications

2025

  1. Selective inference
    acs.png
    ACS: An interactive framework for conformal selection
    Yu Gui*, Ying Jin*, Yash Nair*, and Zhimei Ren*
    arXiv preprint arXiv:2507.15825, 2025
  2. Multi-modal
    indiseek.png
    IndiSeek learns information-guided disentangled representations
    Yu Gui, Cong Ma, and Zongming Ma
    arXiv preprint arXiv:2509.21584, 2025
  3. Multi-modal
    clip.png
    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
  4. UQ
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    Statistical Equilibrium of Optimistic Beliefs
    Yu Gui, and Bahar Taşkesen
    arXiv preprint arXiv:2502.09569, 2025

2024

  1. Distribution shift
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    Distributionally robust risk evaluation with an isotonic constraint
    Yu Gui, Rina Foygel Barber, and Cong Ma
    arXiv preprint arXiv:2407.06867, 2024
    IMS Lawrence D. Brown Ph.D. award
  2. Selective inference
    ca.png
    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
    nlp.png
    Conformal Prediction: A Data Perspective
    Xiaofan Zhou, Baiting Chen, Yu Gui, and Lu Cheng
    ACM Computing Surveys, accepted, 2024

2023

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

2022

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

2020

  1. Selective inference
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    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