Yu Gui

Welcome to my homepage!

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contact yugui@upenn.edu

I am a Postdoctoral Researcher in the Department of Statistics and Data Science at the Wharton School, University of Pennsylvania, working with Professor Dylan Small and Professor Zhimei Ren.

I obtained my PhD in Statistics at the University of Chicago, where I was fortunate to be advised by Professor Rina Foygel Barber and Professor Cong Ma.

Prior to my PhD, I graduated from School of the Gifted Young at University of Science and Technology of China and was a student research intern advised by Professor Jun S Liu at Harvard.

My research broadly focuses on theory and methodology in scenarios where the distribution is weakly specified or fully supervised data are unavailable. I am particularly interested in statistical inference with adaptively collected data, distribution-free inference under distribution shifts, and learning with multi-modal data.

news

May 18, 2025 New preprint: multi-modal contrastive learning adapts to intrinsic dimensions presents a theoretical analysis of CLIP and its ability to adapt to the intrinsic dimension of multimodal data enabled by temperature optimization.
Apr 08, 2025 I’ve passed my PhD defense! Starting in July 2025, I’ll be working as a postdoctoral researcher in the Department of Statistics and Data Science at the Wharton School, working with Professors Dylan Small and Zhimei Ren.
Apr 02, 2025 Our paper Conformal Prediction: A Data Perspective has been accepted to ACM Computing Surveys.
Sep 26, 2024 Our paper Conformal Alignment has been accepted to NeurIPS 2024! This paper guarantees the safe and reliable deployment of foundation model outputs.
Jul 10, 2024 A new preprint iso-DRL on how to utilize side information (e.g. shape constraints) to balance the misspecification of sample reweighting and the over-pessimism of distributionally robust learning! As an application, iso-DRL suggests a robust approach to calibrate estimated density ratios in reweighting approaches.
Jun 30, 2024 I’m thrilled to be awarded the William Rainey Harper Dissertation Fellowship!
Dec 31, 2023 Presented conformalized matrix completion at NeurIPS 2023 and ICSDS 2023.
Mar 30, 2023 Received IMS Hannan graduate student award for our work on theory of contrastive learning.