no code implementations • 10 May 2024 • Mufang Ying, Wenge Guo, Koulik Khamaru, Ying Hung
Weighted conformal prediction (WCP), a recently proposed framework, provides uncertainty quantification with the flexibility to accommodate different covariate distributions between training and test data.
1 code implementation • 1 May 2024 • Yunpeng Xu, Wenge Guo, Zhi Wei
As a natural extension to the standard conformal prediction method, several conformal risk control methods have been recently developed and applied to various learning problems.
1 code implementation • 27 Apr 2024 • Yunpeng Xu, Wenge Guo, Zhi Wei
Given the wide adoption of ranked retrieval techniques in various information systems that significantly impact our daily lives, there is an increasing need to assess and address the uncertainty inherent in their predictions.
no code implementations • 25 Apr 2024 • Subhrasish Chakraborty, Chhavi Tyagi, Haiyan Qiao, Wenge Guo
Newer conformal prediction methods are developed for constructing contiguous and non-contiguous prediction sets based on marginal and conditional (class-specific) conformal $p$-values, respectively.
1 code implementation • 22 Nov 2017 • Yalin Zhu, Wenge Guo
In applications such as clinical safety analysis, the data of the experiments usually consists of frequency counts.
Methodology