
Adaptive calibration for binary classification
This note proposes a way of making probability forecasting rules less se...
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Enhancement of prediction algorithms by betting
This note proposes a procedure for enhancing the quality of probabilisti...
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Conformal testing in a binary model situation
Conformal testing is a way of testing the IID assumption based on confor...
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Retrain or not retrain: Conformal test martingales for changepoint detection
We argue for supplementing the process of training a prediction algorith...
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Testing for concept shift online
This note continues study of exchangeability martingales, i.e., processe...
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Comment on Glenn Shafer's "Testing by betting"
This note is my comment on Glenn Shafer's discussion paper "Testing by b...
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A note on data splitting with evalues: online appendix to my comment on Glenn Shafer's "Testing by betting"
This note reanalyzes Cox's idealized example of testing with data splitt...
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Admissible ways of merging pvalues under arbitrary dependence
Methods of merging several pvalues into a single pvalue are important ...
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A class of iemerging functions
We describe a general class of iemerging functions and pose the problem...
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Conformal eprediction for change detection
We adapt conformal eprediction to change detection, defining analogues ...
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Training conformal predictors
Efficiency criteria for conformal prediction, such as observed fuzziness...
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True and false discoveries with independent evalues
In this note we use evalues (a nonBayesian version of Bayes factors) i...
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Crossconformal eprediction
This note discusses a simple modification of crossconformal prediction ...
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True and false discoveries with evalues
We discuss controlling the number of false discoveries using evalues in...
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Combining evalues and pvalues
Multiple testing of a single hypothesis and testing multiple hypotheses ...
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Computationally efficient versions of conformal predictive distributions
Conformal predictive systems are a recent modification of conformal pred...
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Nonalgorithmic theory of randomness
This paper proposes an alternative language for expressing results of th...
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Power and limitations of conformal martingales
This paper, accompanying my poster at ISIPTA 2019 (5 July 2019), poses t...
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Conformal calibrators
Most existing examples of full conformal predictive systems, splitconfo...
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Conformal predictive distributions with kernels
This paper reviews the checkered history of predictive distributions in ...
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Inductive Conformal Martingales for ChangePoint Detection
We consider the problem of quickest changepoint detection in data strea...
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Prediction with Advice of Unknown Number of Experts
In the framework of prediction with expert advice, we consider a recentl...
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Efficiency of conformalized ridge regression
Conformal prediction is a method of producing prediction sets that can b...
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VennAbers predictors
This paper continues study, both theoretical and empirical, of the metho...
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Crossconformal predictors
This note introduces the method of crossconformal prediction, which is ...
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Online Prediction with Kernels and the Complexity Approximation Principle
The paper describes an application of Aggregating Algorithm to the probl...
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Online prediction of ovarian cancer
In this paper we apply computer learning methods to diagnosing ovarian c...
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A tutorial on conformal prediction
Conformal prediction uses past experience to determine precise levels of...
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Vladimir Vovk
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