5 citations · 5 across the 8 of their papers we have counts for
5 papers · 1 filter
Distribution-informed Efficient Conformal Prediction for Full Ranking
Wenbo Liao, Huipeng Huang, Chen Jia +3
Quantifying uncertainty is critical for the safe deployment of ranking models in real-world applications. Recent work offers a rigorous solution using conformal prediction in a ful…
Model-agnostic Selective Labeling with Provable Statistical Guarantees
Huipeng Huang, Wenbo Liao, Huajun Xi +3
Obtaining high-quality labels for large datasets is expensive, requiring massive annotations from human experts. While AI models offer a cost-effective alternative by predicting la…
Exploring the Noise Robustness of Online Conformal Prediction
Huajun Xi, Kangdao Liu, Hao Zeng +2
Conformal prediction is an emerging technique for uncertainty quantification that constructs prediction sets guaranteed to contain the true label with a predefined probability. Rec…
Does confidence calibration improve conformal prediction?
Huajun Xi, Jianguo Huang, Kangdao Liu +2
Conformal prediction is an emerging technique for uncertainty quantification that constructs prediction sets guaranteed to contain the true label with a predefined probability. Pre…
Conformal Prediction for Deep Classifier via Label Ranking
Jianguo Huang, Huajun Xi, Linjun Zhang +3
Conformal prediction is a statistical framework that generates prediction sets containing ground-truth labels with a desired coverage guarantee. The predicted probabilities produce…