3 papers
cs.CL2024
Joint Training for Selective Prediction
Zhaohui Li, Rebecca J. Passonneau
Classifier models are prevalent in natural language processing (NLP), often with high accuracy. Yet in real world settings, human-in-the-loop systems can foster trust in model outp…
stat.ME2024
Novel Subsampling Strategies for Heavily Censored Reliability Data
Yixiao Ruan, Zan Li, Zhaohui Li +3
Computational capability often falls short when confronted with massive data, posing a common challenge in establishing a statistical model or statistical inference method dealing…
cs.LG2023
A Bayesian Robust Regression Method for Corrupted Data Reconstruction
Zheyi Fan, Zhaohui Li, Jingyan Wang +3
Because of the widespread existence of noise and data corruption, recovering the true regression parameters with a certain proportion of corrupted response variables is an essentia…