Fetching the paper…
Reading the bibliography…
This paper studies distribution-free inference in settings where the data set has a hierarchical structure -- for example, groups of observations, or repeated measurements.
Springer series in 8
R Bank, RL Graham, J Stoer, and R Varga · 1987
Earlier work this paper cites.
Predictability: A problem partly solved
Edward N Lorenz · 1996
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.
Information theory and stochastics for multiscale nonlinear systems , volume 25
Andrew Majda, Rafail V Abramov, and Marcus J Grote · 2005
Earlier work this paper cites.
Algorithmic learning in a random world
Vladimir Vovk, Alexander Gammerman, and Glenn Shafer · 2005
Earlier work this paper cites.
Conservative hypothesis tests and confidence intervals using importance sampling
Matthew T Harrison · 2012
Earlier work this paper cites.
Conditional validity of inductive conformal predictors
Vladimir Vovk · 2012
Earlier work this paper cites.
Distribution-free prediction bands for non-parametric regression
Jing Lei and Larry Wasserman · 2014
Earlier work this paper cites.
A conformal prediction approach to explore functional data
Jing Lei, Alessandro Rinaldo, and Larry Wasserman · 2015
Earlier work this paper cites.
Cross-conformal predictors
Vladimir Vovk · 2015
Earlier work this paper cites.
Exact and robust conformal inference methods for predictive machine learning with dependent data
Victor Chernozhukov, Kaspar Wüthrich, and Zhu Yinchu · 2018
Cited alongside, same era.
Distribution-free predictive inference for regression
Jing Lei, Max G’Sell, Alessandro Rinaldo, Ryan J Tibshirani, and Larry Wasserman · 2018
Cited alongside, same era.
Cross-conformal predictive distributions
Vladimir Vovk, Ilia Nouretdinov, Valery Manokhin, and Alexander Gammerman · 2018
Cited alongside, same era.
Flexible distribution-free conditional predictive bands using density estimators
Rafael Izbicki, Gilson T Shimizu, and Rafael B Stern · 2019
Cited alongside, same era.
Conformalized quantile regression
Yaniv Romano, Evan Patterson, and Emmanuel Candes · 2019
Cited alongside, same era.
Conformal prediction under covariate shift
Distribution-free inference for regression: discrete, continuous, and in between
Yonghoon Lee and Rina Barber · 2021
Later among the works it cites.
Distribution-free conditional median inference
Dhruv Medarametla and Emmanuel Candès · 2021
Later among the works it cites.
Distribution-free uncertainty quantification for classification under label shift
Aleksandr Podkopaev and Aaditya Ramdas · 2021
Later among the works it cites.
Conformal prediction interval for dynamic time-series
Chen Xu and Yao Xie · 2021
Later among the works it cites.
Conformal prediction beyond exchangeability
Rina Foygel Barber, Emmanuel J Candes, Aaditya Ramdas, and Ryan J Tibshirani · 2022
Later among the works it cites.
How many labelers do you have? a closer look at gold-standard labels
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ryan J Tibshirani, Rina Foygel Barber, Emmanuel Candes, and Aaditya Ramdas · 2019
Cited alongside, same era.
Is distribution-free inference possible for binary regression?
Rina Foygel Barber · 2020
Cited alongside, same era.
The value of initial condition large ensembles to robust adaptation decision-making
Justin S Mankin, Flavio Lehner, Sloan Coats, and Karen A McKinnon · 2020
Cited alongside, same era.
Combining p-values via averaging
Vladimir Vovk and Ruodu Wang · 2020
Cited alongside, same era.
Distributional conformal prediction
Victor Chernozhukov, Kaspar Wüthrich, and Yinchu Zhu · 2021
Cited alongside, same era.
The limits of distribution-free conditional predictive inference
Rina Foygel Barber, Emmanuel J Candes, Aaditya Ramdas, and Ryan J Tibshirani
Cited in the paper.
Predictive inference with the jackknife+
Rina Foygel Barber, Emmanuel J Candes, Aaditya Ramdas, and Ryan J Tibshirani
Cited in the paper.
Chen Cheng, Hilal Asi, and John Duchi · 2022
Later among the works it cites.
Distribution-free prediction sets for two-layer hierarchical models
Robin Dunn, Larry Wasserman, and Aaditya Ramdas · 2022
Later among the works it cites.
Fact sheet: Ensemble weather forecasting, 2023
European Centre for Medium-Range Weather Forecasts · 2023
Closest in time.
Predictive inference in multi-environment scenarios
John C Duchi, Suyash Gupta, Kuanhao Jiang, and Pragya Sur · 2024
Closest in time.
Symmpi: predictive inference for data with group symmetries
Edgar Dobriban and Mengxin Yu · 2025
Closest in time.