Skip to content
ScoreQuant
Get startedWalkthroughsResearchReference
ResearchExploreLiteratureFrontier
Research tools
GraphClaims registryCounterexamplesMachine-checkedLibrary mappingHow to read

Louppe

The sources this bibliography records under this name, in order of publication, and the claims they support.

  • Cranmer, Pavez, Louppe (2015)Approximating Likelihood Ratios with Calibrated Discriminative Classifiers2015Score compression and ratio estimation

Claims that cite this work

  • Derived from the literaturePosterior error to score error for mixture-fraction scores: one Lipschitz inequality, and the excess Brier score as the classifier requirementCLASSIFIER-CALIBRATION-SCORE-LIPSCHITZ
  • EstablishedCalibrated classifier posterior odds recover component density ratiosCLASSIFIER-RATIO-ORACLE
ScoreQuant

Hard bins, and a measurement of what the binning cost.

LearnGet startedWalkthroughsResearch
ReferenceDocumentationGitHub
Open source · research provenance is explicit · no browser data leaves your device