Research

Research interests

• Distribution-free (predictive) inference

• Statistical learning with (implicit) distribution shift

• Self-supervised learning/contrastive learning

Papers and preprints

• Unraveling projection heads in contrastive learning: insights from expansion and shrinkage (2023)
  Yu Gui, Cong Ma, and Yiqiao Zhong
  

• Conformalized matrix completion (2023) [code] [poster]
  Yu Gui, Rina Foygel Barber, and Cong Ma
  Advances in Neural Information Processing Systems (Neurips) 2023, to appear.
  

• Conformalized survival analysis with adaptive cutoffs (2022)
  Yu Gui*, Rohan Hore*, Zhimei Ren*, and Rina Foygel Barber
  Biometrika, to appear.
  

Before graduate study

• Neural Gaussian mirror for controlled feature selection in neural networks (2020)
  Xin Xing*, Yu Gui*, Chenguang Dai, and Jun S Liu
  2020 19th IEEE International Conference on Machine Learning and Applications.
  

* equal contribution or alphabetical ordering.