Yucen Lily Li - RankMe

17 papers A* 3A 2Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Unification of Discrete, Gaussian, and Simplicial Diffusion. CoRR Nuria Alina Chandra, Yucen Lily Li, Alan Nawzad Amin, Alex Ali, Joshua Rollins, Sebastian W. Ober, Aniruddh Raghu, Andrew Gordon Wilson
2025	A*	`conf`	Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences. ICLR Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson
2025	A	`conf`	Fine-Tuning with Uncertainty-Aware Priors Makes Vision and Language Foundation Models More Reliable. AISTATS Tim G. J. Rudner, Xiang Pan, Yucen Lily Li, Ravid Shwartz-Ziv, Andrew Gordon Wilson
2025	J	`jnl`	Is Sequence Information All You Need for Bayesian Optimization of Antibodies? CoRR Sebastian W. Ober, Calvin McCarter, Aniruddh Raghu, Yucen Lily Li, Alan Nawzad Amin, Andrew Gordon Wilson, Hunter Elliott
2025	J	`jnl`	Out-of-Distribution Detection Methods Answer the Wrong Questions. CoRR Yucen Lily Li, Daohan Lu, Polina Kirichenko, Shikai Qiu, Tim G. J. Rudner, C. Bayan Bruss, Andrew Gordon Wilson
2025	—	`conf`	Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection. ICML (Position Papers) Yucen Lily Li, Daohan Lu, Polina Kirichenko, Shikai Qiu, Tim G. J. Rudner, C. Bayan Bruss, Andrew Gordon Wilson
2024	A*	`conf`	A Study of Bayesian Neural Network Surrogates for Bayesian Optimization. ICLR Yucen Lily Li, Tim G. J. Rudner, Andrew Gordon Wilson
2024	J	`jnl`	Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences. CoRR Alan Nawzad Amin, Nate Gruver, Yilun Kuang, Yucen Lily Li, Hunter Elliott, Calvin McCarter, Aniruddh Raghu, Peyton Greenside, Andrew Gordon Wilson
2023	J	`jnl`	A Study of Bayesian Neural Network Surrogates for Bayesian Optimization. CoRR Yucen Lily Li, Tim G. J. Rudner, Andrew Gordon Wilson
2023	A*	`conf`	Simplifying Neural Network Training Under Class Imbalance. NeurIPS Ravid Shwartz-Ziv, Micah Goldblum, Yucen Lily Li, C. Bayan Bruss, Andrew Gordon Wilson
2023	J	`jnl`	Simplifying Neural Network Training Under Class Imbalance. CoRR Ravid Shwartz-Ziv, Micah Goldblum, Yucen Lily Li, C. Bayan Bruss, Andrew Gordon Wilson
2021	A	`conf`	Accelerating Metropolis-Hastings with Lightweight Inference Compilation. AISTATS Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer
2020	J	`jnl`	Accelerating Metropolis-Hastings with Lightweight Inference Compilation. CoRR Feynman T. Liang, Nimar S. Arora, Nazanin Khosravani Tehrani, Yucen Lily Li, Michael Tingley, Erik Meijer
2020	—	`conf`	Bean Machine: A Declarative Probabilistic Programming Language For Efficient Programmable Inference. PGM Nazanin Khosravani Tehrani, Nimar S. Arora, Yucen Lily Li, Kinjal Divesh Shah, David Noursi, Michael Tingley, Narjes Torabi, Sepehr Masouleh, Eric Lippert, Erik Meijer
2020	J	`jnl`	Newtonian Monte Carlo: single-site MCMC meets second-order gradient methods. CoRR 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
2020	J	`jnl`	PPL Bench: Evaluation Framework For Probabilistic Programming Languages. CoRR 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
2019	J	`jnl`	The Signals that Potential Contributors Look for When Choosing Open-source Projects. Proc. ACM Hum. Comput. Interact. Huilian Sophie Qiu, Yucen Lily Li, Hema Susmita Padala, Anita Sarma, Bogdan Vasilescu