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This paper discusses a counterpart of conformal prediction for e-values, conformal e-prediction.
Statistical Decision Functions
Abraham Wald · 1950
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Inequalities
G. H. Hardy, John E. Littlewood, and George Pólya · 1952
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Theory of Probability
Harold Jeffreys · 1961
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Almost Sure Convergence
William F. Stout · 1974
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Learning by transduction
Alex Gammerman, Vladimir Vovk, and Vladimir Vapnik · 1998
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Machine-learning applications of algorithmic randomness
Vladimir Vovk, Alex Gammerman, and Craig Saunders · 1999
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A better bound on the variance
Rajendra Bhatia and Chandler Davis · 2000
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Ridge Regression Confidence Machine
Ilia Nouretdinov, Tom Melluish, and Vladimir Vovk · 2001
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Inductive Confidence Machines for regression
Harris Papadopoulos, Konstantinos Proedrou, Vladimir Vovk, and Alex Gammerman · 2002
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Qualified predictions for large data sets in the case of pattern recognition
Harris Papadopoulos, Vladimir Vovk, and Alex Gammerman · 2002
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On-line Confidence Machines are well-calibrated
Vladimir Vovk · 2002
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A universal well-calibrated algorithm for on-line classification
Vladimir Vovk · 2004
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Concentration of Measure for the Analysis of Randomized Algorithms
Devdatt P. Dubhashi and Alessandro Panconesi · 2009
Cited alongside, same era.
Conformal Prediction for Reliable Machine Learning: Theory, Adaptations, and Applications
Vineeth N. Balasubramanian, Shen-Shyang Ho, and Vladimir Vovk, editors · 2014
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Cross-conformal predictors
Vladimir Vovk · 2015
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Probability-1
Albert N. Shiryaev · 2016
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On the calibration of aggregated conformal predictors
Henrik Linusson, Ulf Norinder, Henrik Boström, Ulf Johansson, and Tuve Löfström · 2017
Cited alongside, same era.
Combining p-values via averaging
Vladimir Vovk and Ruodu Wang · 2020
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Predictive inference with the jackknife+
Rina Foygel Barber, Emmanuel J. Candès, Aaditya Ramdas, and Ryan J. Tibshirani · 2021
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The language of betting as a strategy for statistical and scientific communication (with discussion)
Glenn Shafer · 2021
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E-values: Calibration, combination, and applications
Vladimir Vovk and Ruodu Wang · 2021
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Algorithmic Learning in a Random World
Vladimir Vovk, Alex Gammerman, and Glenn Shafer · 2022
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Batch multivalid conformal prediction
Christopher Jung, Georgy Noarov, Ramya Ramalingam, and Aaron Roth · 2023
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Nonparametric predictive distributions based on conformal prediction
Vladimir Vovk, Jieli Shen, Valery Manokhin, and Minge Xie · 2017
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Prediction with confidence—a general framework for predictive inference
Jieli Shen, Regina Liu, and Minge Xie · 2018
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Probability-2
Albert N. Shiryaev · 2019
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Special Issue on p-values
Ronald L. Wasserstein, Allen L. Schirm, and Nicole A. Lazar, editors · 2019
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Game-theoretic statistics and safe anytime-valid inference
Aaditya Ramdas, Peter Grünwald, Vladimir Vovk, and Glenn Shafer · 2023
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Enhancing conformal prediction using e-test statistics
Alexander A. Balinsky and Alexander D. Balinsky · 2024
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Conformal prediction with conditional guarantees
Isaac Gibbs, John J. Cherian, and Emmanuel J. Candès · 2024
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Safe testing (with discussion)
Peter Grünwald, Rianne de Heide, and Wouter M. Koolen · 2024
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