Posts

Jan 2024: Interested in making good decisions with conformal prediction? I’ll give a virtual talk “Selecting Trusted Decisions from AI Black Boxes: Correcting Conformal Prediction for Selective Guarantees” at MLBoost (event link, Jan 4, 2024). This is based on our work on model-free selective inference [1, 2].
Oct-Dec 2023: I’m presenting at INFORMS Annual Meeting, WORDS 2023 at Duke University, Rising Stars in Data Science Workshop at UChicago, and “Causality, generalizability, and robustness” session at ICSDS 2023.
Nov 2023: Do you want to leverage auxiliary/unsupervised data to improve your (high-dimensional) prediction models? Check out our paper for our Modular Regression method, accepted at JMLR!
Sept 2023: Our paper on graph conformal prediction is accepted at NeurIPS 2023 as a spotlight!
July 2023: Our preprint on model-free selective inference is out! It develops new multiple testing techniques to deal with distribution shifts. I talked about this series of work [1, 2] at ICSA, JCSDS, and JSM.
June 2023: My paper on the Natarajan dimensions of popular function classes is accepted to ISIT 2023!