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Conformal prediction is a popular, modern technique for providing valid predictive inference for arbitrary machine learning models.
On dominance relations and the structure of animal societies: III. The condition for a score structure
Hyman G. Landau · 1953
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Splice-2 comparative evaluation: Electricity pricing
Michael Harries · 1999
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A direct approach to false discovery rates
John D Storey · 2002
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Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: A unified approach
John D. Storey, Jonathan E. Taylor, and David Siegmund · 2004
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Algorithmic Learning in a Random World
Vladimir Vovk, Alex Gammerman, and Glenn Shafer · 2005
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A Second Course in Probability
Sheldon M. Ross and Erol A. Peköz · 2007
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A tutorial on conformal prediction
Glenn Shafer and Vladimir Vovk · 2008
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Conservative hypothesis tests and confidence intervals using importance sampling
Matthew T. Harrison · 2012
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Distribution-free prediction sets
Jing Lei, James Robins, and Larry Wasserman · 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
Jing Lei and Larry Wasserman · 2014
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Cross-conformal predictors
Vladimir Vovk · 2015
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Inductive conformal martingales for change-point detection
Denis Volkhonskiy, Evgeny Burnaev, Ilia Nouretdinov, Alexander Gammerman, and Vladimir Vovk · 2017
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Exact and robust conformal inference methods for predictive machine learning with dependent data
Victor Chernozhukov, Kaspar Wüthrich, and Zhu Yinchu · 2018
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Distribution-free predictive inference for regression
Jing Lei, Max G’Sell, Alessandro Rinaldo, Ryan J. Tibshirani, and Larry Wasserman · 2018
Cited alongside, same era.
County Presidential Election Returns 2000-2016, 2018
MIT Election Data and Science Lab · 2018
Cited alongside, same era.
Cross-conformal predictive distributions
Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, and Alexander Gammerman · 2018
Cited alongside, same era.
Fast exact conformalization of the lasso using piecewise linear homotopy
Jing Lei · 2019
Cited alongside, same era.
A unified treatment of multiple testing with prior knowledge using the p-filter
Aaditya Ramdas, Rina Foygel Barber, Martin J. Wainwright, and Michael I. Jordan · 2019
Cited alongside, same era.
Conformalized quantile regression
Yaniv Romano, Evan Patterson, and Emmanuel J. Candès · 2019
Cited alongside, same era.
A gentle introduction to conformal prediction and distribution-free uncertainty quantification
Anastasios N. Angelopoulos and Stephen Bates · 2021
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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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Testing for outliers with conformal p-values
Stephen Bates, Emmanuel J. Candès, Lihua Lei, Yaniv Romano, and Matteo Sesia · 2021
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Conformalized survival analysis
Emmanuel J. Candès, Lihua Lei, and Zhimei Ren · 2021
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Adaptive conformal inference under distribution shift
Isaac Gibbs and Emmanuel J. Candès · 2021
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Conformal prediction under covariate shift
Ryan J. Tibshirani, Rina Foygel Barber, Emmanuel J. Candès, and Aaditya Ramdas · 2019
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2015-2019 american community survey 5-year average county-level estimates, 2019b
United States Census Bureau · 2019
Cited alongside, same era.
Small area income and poverty estimates: 2019, 2019c
United States Census Bureau · 2019
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Robust validation: Confident predictions even when distributions shift
Maxime Cauchois, Suyash Gupta, Alnur Ali, and John C. Duchi · 2020
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How The Washington Post estimates outstanding votes for the 2020 presidential election, 2020
John Cherian and Leonard Bronner · 2020
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Adaptive, distribution-free prediction intervals for deep networks
Danijel Kivaranovic, Kory D. Johnson, and Hannes Leeb · 2020
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Localized conformal prediction: A generalized inference framework for conformal prediction
Leying Guan · 2021
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Distribution-free uncertainty quantification for classification under label shift
Aleksandr Podkopaev and Aaditya Ramdas · 2021
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Conformal time-series forecasting
Kamile Stankeviciute, Ahmed M Alaa, and Mihaela van der Schaar · 2021
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Testing randomness online
Vladimir Vovk · 2021
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Protected probabilistic classification
Vladimir Vovk, Ivan Petej, and Alex Gammerman · 2021
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Conformal prediction interval for dynamic time-series
Chen Xu and Yao Xie · 2021
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Distribution-free prediction sets for two-layer hierarchical models
Robin Dunn, Larry Wasserman, and Aaditya Ramdas · 2022
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Conformal prediction for the design problem
Clara Fannjiang, Stephen Bates, Anastasios N. Angelopoulos, Jennifer Listgarten, and Michael I. Jordan · 2022
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Adaptive conformal predictions for time series
Margaux Zaffran, Olivier Féron, Yannig Goude, Julie Josse, and Aymeric Dieuleveut · 2022
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