news

Jul 10, 2024 A new preprint iso-DRL on how to utilize side information (e.g. shape constraints) to relieve the over-conservativeness 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!
May 16, 2024 A new preprint on when to deploy foundation model outputs with statistical guarantees: Conformal Alignment.
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.