Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
Valery Manokhin, Daniel Grønhaug
We study model-agnostic post-hoc calibration methods intended to improve probabilistic predictions in supervised binary classification on real i.i.d. tabular data, with particular…
cs.LG2019
Computationally efficient versions of conformal predictive distributions
Vladimir Vovk, Ivan Petej, Ilia Nouretdinov +2
Conformal predictive systems are a recent modification of conformal predictors that output, in regression problems, probability distributions for labels of test observations rather…
cs.LG2017
Conformal predictive distributions with kernels
Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin +1
This paper reviews the checkered history of predictive distributions in statistics and discusses two developments, one from recent literature and the other new. The first developme…