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Conformal prediction methods construct prediction regions for iid data that are valid in finite samples.
Conformalized quantile regression
Yaniv Romano, Evan Patterson, and Emmanuel J. Candés · 1905
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World Health Organization · 1905
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With malice towards none: Assessing uncertainty via equalized coverage
Yaniv Romano, Rina F. Barber, Chiara Sabatti, and Emmanuel J. Candés · 1908
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Distributional conformal prediction
Victor Chernozhukov, Kasper Wüthrich, and Yinchu Zhu · 1909
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A comparison of some conformal quantile regression methods
Matteo Sesia and Emmanuel J. Candés · 1909
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Distribution-free conditional predictive bands using density estimators
Rafael Izbicki, Gilson Y. Shimizu, and Rafael B. Stern · 1910
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An approximation of partial sums of independent rv’-s, and the sample df. i
János Komlós, Péter Major, and Gábor Tusnády · 1975
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Strong approximations of the quantile process
Miklós Csörgő and Pál Révész · 1978
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Generalized Linear Models
Peter McCullagh and John A Nelder · 1989
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A course in large sample theory, 1996
Thomas S. Ferguson · 1996
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Prevalence of coronary heart disease risk factors among rural blacks: a community-based study
James P Willems, J Terry Saunders, Dawn E Hunt, and John B Schorling · 1997
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Exponential integrability and transportation cost related to logarithmic Sobolev inequalities
Sergej G Bobkov and Friedrich Götze · 1999
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Concentration of measure and logarithmic sobolev inequalities
Michel Ledoux · 1999
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The Concentration of Measure Phenomenon
Michel Ledoux · 2001
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Transportation cost-information inequalities and applications to random dynamical systems and diffusions
Hacene Djellout, Arnaud Guillin, and Liming Wu · 2004
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Algorithmic Learning in a Random World
Vladimir Vovk, Alex Gammerman, and Glenn Shafer · 2005
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Hedging Predictions in Machine Learning: The Second Computer Journal Lecture
Alexander Gammerman and Vladimir Vovk · 2007
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Diabetes risk calculator: a simple tool for detecting undiagnosed diabetes and pre-diabetes
Kenneth E Heikes, David M Eddy, Bhakti Arondekar, and Leonard Schlessinger · 2008
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A tutorial on conformal prediction
Glenn Shafer and Vladimir Vovk · 2008
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Optimal Transport: Old and New , volume 338
Cédric Villani · 2008
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Evolutionary conformal prediction for breast cancer diagnosis
Antonis Lambrou, Harris Papadopoulos, and Alex Gammerman · 2009
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Diagnosis and classification of diabetes mellitus
American Diabetes Association · 2010
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Concentration inequality of maximum likelihood estimator
Yu Miao · 2010
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conformalInference: Tools for conformal inference in regression , 2016
Ryan Tibshirani · 2016
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Conformal prediction of biological activity of chemical compounds
Paolo Toccaceli, Ilia Nouretdinov, and Alexander Gammerman · 2017
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IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045
NH Cho, JE Shaw, S Karuranga, Y Huang, JD da Rocha Fernandes, AW Ohlrogge, and B Malanda · 2018
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Functional regression for quasar spectra
Mattia Ciollaro, Jessi Cisewski, Peter E. Freeman, Christopher R. Genovese, Jing Lei, Ross O’Connell, and Larry Wasserman · 2018
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Deep confidence: A computationally efficient framework for calculating reliable prediction errors for deep neural networks
Isidro Cortés-Ciriano and Andreas Bender · 2018
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Inductive conformal prediction: Theory and application to neural networks
Harris Papadopoulos, Vladimir Vovk, and Alex Gammerman · 2011
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Conformal predictors in early diagnostics of ovarian and breast cancers
Dmitry Devetyarov, Ilia Nouretdinov, Brian Burford, Stephane Camuzeaux, Aleksandra Gentry-Maharaj, Ali Tiss, Celia Smith, Zhiyuan Luo, Alexey Chervonenkis, Rachel Hallett, Volodya Vovk, Mike Waterfield, Rainer Cramer, John F. Timms, John Sinclair, Usha Menon, Ian Jacobs, and Alex Gammerman · 2012
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Conditional validity of inductive conformal predictors
Vladimir Vovk · 2012
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Distribution-free prediction sets
Jing Lei, James Robins, and Larry Wasserman · 2013
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Introduction to Real Analysis
William F. Trench · 2013
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Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications
Vineeth Balasubramanian, Shen-Shyang Ho, and Vladimir Vovk · 2014
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Distribution-free prediction sets with random effects
Robin Dunn and Larry Wasserman · 2018
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conformal.glm: Conformal Prediction for Generalized Linear Regression Models , 2018
Daniel J. Eck · 2018
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eMolTox: prediction of molecular toxicity with confidence
Changge Ji, Fredrik Svensson, Azedine Zoufir, Andreas Bender, and Alfonso Valencia · 2018
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Interpretable regression trees using conformal prediction
Ulf Johansson, Henrik Linusson, Tuve Löfström, and Henrik Boström · 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
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HDInterval: Highest (Posterior) Density Intervals , 2018
Mike Meredith and John Kruschke · 2018
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A fast and efficient conformal regressor with regularized extreme learning machine
Di Wang, Ping Wang, and Junzhi Shi · 2018
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Large scale comparison of QSAR and conformal prediction methods and their applications in drug discovery
Nicolas Bosc, Francis Atkinson, Eloy Felix, Anna Gaulton, Anne Hersey, and Andrew R Leach · 2019
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Concepts and applications of conformal prediction in computational drug discovery
Isidro Cortés-Ciriano and Andreas Bender · 2019
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R: A Language and Environment for Statistical Computing
R Core Team · 2019
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High-Dimensional Statistics: A Non-Asymptotic Viewpoint
Martin J. Wainwright · 2019
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