2025 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 ML theory 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 UQ Statistical Equilibrium of Optimistic Beliefs Yu Gui, and Bahar Taşkesen arXiv preprint arXiv:2502.09569, 2025 arXiv 2024 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 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 UQ Conformal Prediction: A Data Perspective Xiaofan Zhou, Baiting Chen, Yu Gui, and Lu Cheng ACM Computing Surveys, accepted, 2024 arXiv 2023 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 UQ Conformalized matrix completion Yu Gui, Rina Barber, and Cong Ma Advances in Neural Information Processing Systems (NeurIPS), 2023 arXiv HTML Code Poster 2022 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 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