Li, Yucen Lily

9 publications

ICLR 2026 A Unification of Discrete, Gaussian, and Simplicial Diffusion Nuria Alina Chandra, Yucen Lily Li, Alan Nawzad Amin, Alex Ali, Joshua Rollins, Sebastian W. Ober, Aniruddh Raghu, Andrew Gordon Wilson

ICLR 2025 Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson

AISTATS 2025 Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable Tim G. J. Rudner, Xiang Pan, Yucen Lily Li, Ravid Shwartz-Ziv, Andrew Gordon Wilson

ICML 2025 Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection Yucen Lily Li, Daohan Lu, Polina Kirichenko, Shikai Qiu, Tim G. J. Rudner, C. Bayan Bruss, Andrew Gordon Wilson

ICLR 2024 A Study of Bayesian Neural Network Surrogates for Bayesian Optimization Yucen Lily Li, Tim G. J. Rudner, Andrew Gordon Wilson

NeurIPSW 2024 Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences Alan Nawzad Amin, Nate Gruver, Yucen Lily Li, Yilun Kuang, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson

ICMLW 2024 Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable Tim G. J. Rudner, Xiang Pan, Yucen Lily Li, Ravid Shwartz-Ziv, Andrew Gordon Wilson

NeurIPSW 2022 On Representation Learning Under Class Imbalance Ravid Shwartz-Ziv, Micah Goldblum, Yucen Lily Li, C. Bayan Bruss, Andrew Gordon Wilson

PGM 2020 Bean Machine: A Declarative Probabilistic Programming Language for Efficient Programmable Inference Nazanin Tehrani, Nimar S. Arora, Yucen Lily Li, Kinjal Divesh Shah, David Noursi, Michael Tingley, Narjes Torabi, Sepehr, Eric Lippert, Erik Meijer