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We extend conformal prediction methodology beyond the case of exchangeable data.
Improving predictive inference under covariate shift by weighting the log-likelihood function
Hidetoshi Shimodaira · 2000
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Inductive confidence machines for regression
Harris Papadopoulos, Kostas Proedrou, Volodya Vovk, and Alex Gammerman · 2002
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Input-dependent estimation of generalization error under covariate shift
Masashi Sugiyama and Klaus-Robert Muller · 2005
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Algorithmic Learning in a Random World
Vladimir Vovk, Alex Gammerman, and Glenn Shafer · 2005
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Covariate shift adaptation by importance weighted cross validation
Masashi Sugiyama, Matthias Krauledat, and Klaus-Robert Muller · 2007
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A tutorial on conformal prediction
Glenn Shafer and Vladimir Vovk · 2008
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Covariate shift by kernel mean matching
Arthur Gretton, Alex Smola, Jiayuan Huang, Marcel Schmittfull, Karsten Borgwardt, and Bernhard Scholkopf · 2009
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Dataset Shift in Machine Learning
Joaquin Quinonero-Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil D. Lawrence · 2009
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On-line predictive linear regression
Vladimir Vovk, Ilia Nouretdinov, and Alex Gammerman · 2009
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Linear-time estimators for propensity scores
Deepak Agarwal, Lihong Li, and Alex Smola · 2011
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Masashi Sugiyama, Taiji Suzuki, and Takafumi Kanamori · 2012
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Conditional validity of inductive conformal predictors
Vladimir Vovk · 2012
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Transductive conformal predictors
Vladimir Vovk · 2013
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Efficiency of conformalized ridge regression
Evgeny Burnaev and Vladimir Vovk · 2014
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Distribution-free prediction bands for non-parametric regression
Robust learning under uncertain test distributions: Relating covariate shift to model misspecification
Junfeng Wen, Chun-Nam Yu, and Russell Greiner · 2014
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A conformal prediction approach to explore functional data
Jing Lei, Alessandro Rinaldo, and Larry Wasserman · 2015
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Doubly robust covariate shift correction
Sashank J. Reddi, Barnabas Poczos, and Alex Smola · 2015
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Robust covariate shift regression
Xiangli Chen, , Mathew Monfort, Anqi Liu, and Brian Da Ziebart · 2016
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Distribution-free predictive inference for regression
Jing Lei, Max G’Sell, Alessandro Rinaldo, Ryan J. Tibshirani, and Larry Wasserman · 2018
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The limits of distribution-free conditional predictive inference
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Jing Lei and Larry Wasserman · 2014
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