You're currently viewing an old version of this dataset. To see the current version, click here.

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

This dataset has no data

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

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

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