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Experimental Results

The authors evaluate the performance of their proposed conformal prediction methods for multistep feedback covariate shift (MFCS) on synthetic black-box optimization and active learning tasks.

Data and Resources

Cite this as

Yuchen Cai, Ding Cao, Rongxi Guo, Yaqin Wen, Guiquan Liu, Enhong Chen (2024). Dataset: Experimental Results. https://doi.org/10.57702/m8kruj4z

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2405.06627
Citation
  • https://doi.org/10.48550/arXiv.2309.04174
  • https://doi.org/10.48550/arXiv.2403.06466
  • https://doi.org/10.48550/arXiv.2310.18370
Author Yuchen Cai
More Authors
Ding Cao
Rongxi Guo
Yaqin Wen
Guiquan Liu
Enhong Chen
Homepage https://github.com/drewprinster/conformal-mfcs