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Conformal prediction is a generic methodology for finite-sample valid distribution-free prediction.
Handbook of mathematical functions with formulas, graphs, and mathematical tables , volume 55
Milton Abramowitz and Irene A Stegun · 1964
Earlier work this paper cites.
The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality
Pascal Massart · 1990
Earlier work this paper cites.
An introduction to computational learning theory
Michael J Kearns, Umesh Virkumar Vazirani, and Umesh Vazirani · 1994
Earlier work this paper cites.
Weak convergence and empirical processes
Aad W van der Vaart and Jon A Wellner · 1996
Earlier work this paper cites.
Exponential and moment inequalities for U-statistics
Evarist Giné, Rafał Latała, and Joel Zinn · 2000
Earlier work this paper cites.
Asymptotic statistics , volume 3
Aad W Van der Vaart · 2000
Earlier work this paper cites.
A distribution-free theory of nonparametric regression , volume 1
László Györfi, Michael Kohler, Adam Krzyzak, Harro Walk, et al · 2002
Earlier work this paper cites.
Inductive confidence machines for regression
Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, and Alex Gammerman · 2002
Earlier work this paper cites.
Algorithmic learning in a random world
Vladimir Vovk, Alex Gammerman, and Glenn Shafer · 2005
Earlier work this paper cites.
Quantile regression forests
Nicolai Meinshausen · 2006
Earlier work this paper cites.
Aggregation for gaussian regression
Florentina Bunea, Alexandre B Tsybakov, and Marten H Wegkamp · 2007
Earlier work this paper cites.
Robust nonparametric estimation via wavelet median regression
Lawrence D Brown, T Tony Cai, and Harrison H Zhou · 2008
Earlier work this paper cites.
Characterization of LIL behavior in banach space
Uwe Einmahl and Deli Li · 2008
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Conditional validity of inductive conformal predictors
Vladimir Vovk · 2012
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Bandits with heavy tail
Sébastien Bubeck, Nicolo Cesa-Bianchi, and Gábor Lugosi · 2013
Earlier work this paper cites.
Probability in Banach Spaces: isoperimetry and processes
Michel Ledoux and Michel Talagrand · 2013
Earlier work this paper cites.
Distribution-free prediction sets
Jing Lei, James Robins, and Larry Wasserman · 2013
Earlier work this paper cites.
Efficiency of conformalized ridge regression
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Aggregated conformal prediction
Lars Carlsson, Martin Eklund, and Ulf Norinder · 2014
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Ulf Johansson, Henrik Boström, Tuve Löfström, and Henrik Linusson · 2014
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Distribution-free prediction bands for non-parametric regression
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A conformal prediction approach to explore functional data
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Cross-conformal predictors
Vladimir Vovk · 2015
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Optimal mean estimation without a variance
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Predictive inference is free with the jackknife+-after-bootstrap
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Adaptive, distribution-free prediction intervals for deep networks
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The optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization
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Concentration inequalities and moment bounds for sample covariance operators
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On the calibration of aggregated conformal predictors
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About the constants in the Fuk–Nagaev inequalities
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Criteria of efficiency for set-valued classification
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Distribution-free predictive inference for regression
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Robust covariance estimation under L 4 {L}_{4} - L 2 {L}_{2} norm equivalence
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Classification with valid and adaptive coverage
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A comparison of some conformal quantile regression methods
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Predictive inference with the jackknife+
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