2 papers
stat.ME2026
Optimized Labeling Resource Allocation for Prediction-Assisted Inference via OPAL
Virginia L. Ma, Emmanuel J. Candès
Active Statistical Inference is a new framework to make precise claims about population parameters with provable statistical guarantees. It uses a predictive "black-box" machine le…
stat.ML2026
FUSE: Ensembling Verifiers with Zero Labeled Data
Joonhyuk Lee, Virginia Ma, Sarah Zhao +4
Verification of model outputs is rapidly emerging as a key primitive for both training and real-world deployment of large language models (LLMs). In practice, this often involves u…