Machine learning foundations· 2021
A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
On the reading lists
- #62 in Machine learning foundations (2026 edition)
Why it matters
Accessible modern introduction to conformal methods.
Condensed from the expert lists' notes.
The record
- First released
- 2021 (from arXiv 2107.07511)
- Citations
- 1,383 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- both expert lists
- Score
- 0.304 · computed rank 598 · consensus 0.155, must-read 0, citations percentile 0.737 (2020s · foundations), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.