3 papers
cs.LG2026
Selective Conformal Risk Control
Yunpeng Xu, Wenge Guo, Zhi Wei
Reliable uncertainty quantification is essential for deploying machine learning systems in high-stakes domains. Conformal prediction provides distribution-free coverage guarantees…
stat.ME2026
Uncertainty Quantification With Multiple Sources
Mufang Ying, Wenge Guo, Koulik Khamaru +1
Weighted conformal prediction (WCP) has been commonly used to quantify prediction uncertainty under covariate shift. However, the effectiveness of WCP relies heavily on the degree…
cs.IR2025
Two-stage Risk Control with Application to Ranked Retrieval
Yunpeng Xu, Mufang Ying, Wenge Guo +1
Practical machine learning systems often operate in multiple sequential stages, as seen in ranking and recommendation systems, which typically include a retrieval phase followed by…