Hi! I'm a first-year CS PhD student at Stanford, broadly interested in reliable machine learning. I am grateful to be supported by the NSF Graduate Research Fellowship and the Stanford EDGE Fellowship. Previously, I completed my M.S. in Computer Science and B.S. in Mathematics at Stanford, where I was fortunate to be advised by Chelsea Finn in the IRIS lab.

Publications & Preprints

• AutoFT: Robust Fine-Tuning by Optimizing Hyperparameters on OOD Data
  Caroline Choi*, Yoonho Lee*, Annie Chen, Allan Zhou, Aditi Raghunathan, Chelsea Finn. NeurIPS DistShift Workshop, 2023.
  
• Conservative Prediction via Data-Driven Confidence Minimization
  Caroline Choi*, Fahim Tajwar*, Yoonho Lee*, Ananya Kumar, Huaxiu Yao, Chelsea Finn. ICLR TrustML & ME-FOMO Workshops, 2023.
  paper | code
• Wild-Time: A Benchmark of In-the-Wild Distribution Shift Over Time
  Huaxiu Yao*, Caroline Choi*, Bochuan Cao, Yoonho Lee, Pang Wei Koh, Chelsea Finn. NeurIPS (Datasets and Benchmarks Track), 2022.
  paper | code | website
• Symbol Length in Brauer Groups of Elliptic Curves
  Mateo Attanasio*, Caroline Choi*, Andrei Mandelshtam*. Proceedings of the American Mathematical Society, 2023.
  paper
• On Class Numbers, Torsion Subgroups, and Quadratic Twists of Elliptic Curves
  Talia Blum*, Caroline Choi*, Alexandra Hoey*, Jonas Iskander*, Kaya Lakein*, Thomas Martinez*. Transactions of the American Mathematical Society, 2022.
  paper | code
• On Permutation Weights and q-Eulerian Polynomials
  Aman Agrawal*, Caroline Choi*, Nathan Sun*. Annals of Combinatorics, 2020.
  paper | code
  
  * denotes equal contribution