Nested conformal prediction and quantile out-of-bag ensemble methods

23 Oct 2019Chirag GuptaArun K. KuchibhotlaAaditya K. Ramdas

Conformal prediction is a popular tool for distribution-free uncertainty quantification in statistical learning. While the traditional description of conformal prediction starts with a nonconformity score, we provide an alternate (but equivalent) view that starts with a sequence of nested sets and calibrates them to find a valid prediction region... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet