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Found 9 papers, 2 papers with code
Supporting Complaints Investigation for Nursing and Midwifery Regulatory Agencies
Health professional regulators aim to protect the health and well-being of patients and the public by setting standards for scrutinising and overseeing the training and conduct of health and care professionals.
Adaptive calibration for binary classification
This note proposes a way of making probability forecasting rules less sensitive to changes in data distribution, concentrating on the simple case of binary classification.
Retrain or not retrain: Conformal test martingales for change-point detection
We argue for supplementing the process of training a prediction algorithm by setting up a scheme for detecting the moment when the distribution of the data changes and the algorithm needs to be retrained.
Computationally efficient versions of conformal predictive distributions
Conformal predictive systems are a recent modification of conformal predictors that output, in regression problems, probability distributions for labels of test observations rather than set predictions.
Conformal calibrators
Most existing examples of full conformal predictive systems, split-conformal predictive systems, and cross-conformal predictive systems impose severe restrictions on the adaptation of predictive distributions to the test object at hand.
Criteria of efficiency for conformal prediction
We study optimal conformity measures for various criteria of efficiency of classification in an idealised setting.
Large-scale probabilistic predictors with and without guarantees of validity
This paper studies theoretically and empirically a method of turning machine-learning algorithms into probabilistic predictors that automatically enjoys a property of validity (perfect calibration) and is computationally efficient.
From conformal to probabilistic prediction
This paper proposes a new method of probabilistic prediction, which is based on conformal prediction.
Venn-Abers predictors
This paper continues study, both theoretical and empirical, of the method of Venn prediction, concentrating on binary prediction problems.
