Yucen Lily Li

According to our database, Yucen Lily Li authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Out-of-Distribution Detection Methods Answer the Wrong Questions.

Yucen Lily Li, Daohan Lu, Polina Kirichenko, Shikai Qiu, Tim G. J. Rudner, C. Bayan Bruss, Andrew Gordon Wilson

CoRR, July, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

A Study of Bayesian Neural Network Surrogates for Bayesian Optimization.

Yucen Lily Li, Tim G. J. Rudner, Andrew Gordon Wilson

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Simplifying Neural Network Training Under Class Imbalance.

Ravid Shwartz-Ziv, Micah Goldblum, Yucen Lily Li, C. Bayan Bruss, Andrew Gordon Wilson

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Accelerating Metropolis-Hastings with Lightweight Inference Compilation.

Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

PPL Bench: Evaluation Framework For Probabilistic Programming Languages.

Sourabh Kulkarni, Kinjal Divesh Shah, Nimar S. Arora, Xiaoyan Wang, Yucen Lily Li, Nazanin Khosravani Tehrani, Michael Tingley, David Noursi, Narjes Torabi, Sepehr Akhavan-Masouleh, Eric Lippert, Erik Meijer

CoRR, 2020

Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods.

Nimar S. Arora, Nazanin Khosravani Tehrani, Kinjal Divesh Shah, Michael Tingley, Yucen Lily Li, Narjes Torabi, David Noursi, Sepehr Akhavan-Masouleh, Eric Lippert, Erik Meijer

CoRR, 2020

Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference.

Nazanin Khosravani Tehrani, Nimar S. Arora, Yucen Lily Li, Kinjal Divesh Shah, David Noursi, Michael Tingley, Narjes Torabi, Sepehr Masouleh, Eric Lippert, Erik Meijer

Proceedings of the International Conference on Probabilistic Graphical Models, 2020

2019

The Signals that Potential Contributors Look for When Choosing Open-source Projects.

Huilian Sophie Qiu, Yucen Lily Li, Hema Susmita Padala, Anita Sarma, Bogdan Vasilescu

Proc. ACM Hum. Comput. Interact., 2019