Conformal Prediction: Classification and General Case

Vladimir Vovk, Alexander Gammerman and Glenn Shafer
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Vladimir Vovk: University of London, Royal Holloway
Alexander Gammerman: University of London, Royal Holloway
Glenn Shafer: Rutgers University

Chapter Chapter 3 in Algorithmic Learning in a Random World, 2022, pp 71-106 from Springer

Abstract: Abstract In this chapter we mainly concentrate on classification, where the label space Y is finite (and equipped with the discrete σ-algebra), after discussing regression in the previous one. Our first topic is criteria of efficiency of conformal predictors (Sect. 3.1); they will be applied in the next chapter (Sect. 4.3.8 ) to designing new conformal predictors. We give two more examples of nonconformity measures, specific to the case of classification, and illustrate one of the criteria on one of those measures (Sect. 3.2). Finally, we consider the case of Weak teacher Teacher weak “weak teachers”, which are allowed to provide the true label with a delay or not to provide it at all, in Sect. 3.3.

Keywords: Conformal classification; Criteria of efficiency of conformal prediction; Weak teachers (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-031-06649-8_3

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