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Found 8 papers, 0 papers with code
Conformal testing: binary case with Markov alternatives
We continue study of conformal testing in binary model situations.
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.
Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection
In this work we present a clustering technique called \textit{multi-level conformal clustering (MLCC)}.
Conformal predictive distributions with kernels
This paper reviews the checkered history of predictive distributions in statistics and discusses two developments, one from recent literature and the other new.
Inductive Conformal Martingales for Change-Point Detection
We consider the problem of quickest change-point detection in data streams.
Criteria of efficiency for conformal prediction
We study optimal conformity measures for various criteria of efficiency of classification in an idealised setting.
Conformal Predictors for Compound Activity Prediction
The paper presents an application of Conformal Predictors to a chemoinformatics problem of identifying activities of chemical compounds.
