Fetching the paper…
Reading the bibliography…
This book is about conformal prediction and related inferential techniques that build on permutation tests and exchangeability.
The Logical Foundations of Science
William Ernest Johnson · 1924
Earlier work this paper cites.
Funzione caratteristica di un fenomeno aleatorio
Bruno de Finetti · 1929
Earlier work this paper cites.
Sur quelques points de la théorie des probabilités
George Pólya · 1930
Earlier work this paper cites.
’Etude critique de la notion de collectif
Jean Ville · 1939
Earlier work this paper cites.
Determination of sample sizes for setting tolerance limits
SS Wilks · 1941
Earlier work this paper cites.
Statistical prediction with special reference to the problem of tolerance limits
SS Wilks · 1942
Earlier work this paper cites.
On a measure problem arising in the theory of non-parametric tests
Henry Scheffé · 1943
Earlier work this paper cites.
An extension of Wilks’ method for setting tolerance limits
Abraham Wald · 1943
Earlier work this paper cites.
On a test of whether one of two random variables is stochastically larger than the other
Henry B Mann and Donald R Whitney · 1947
Earlier work this paper cites.
On dominance relations and the structure of animal societies: III The condition for a score structure
HG Landau · 1953
Earlier work this paper cites.
The power of rank tests
Erich L Lehmann · 1953
Earlier work this paper cites.
An empirical distribution function for sampling with incomplete information
Miriam Ayer, H Daniel Brunk, George M Ewing, William T Reid, and Edward Silverman · 1955
Earlier work this paper cites.
Symmetric measures on Cartesian products
Edwin Hewitt and Leonard J Savage · 1955
Earlier work this paper cites.
The nonexistence of certain statistical procedures in nonparametric problems
Raghu R Bahadur and Leonard J Savage · 1956
Earlier work this paper cites.
Asymptotic minimax character of the sample distribution function and of the classical multinomial estimator
Aryeh Dvoretzky, Jack Kiefer, and Jacob Wolfowitz · 1956
Earlier work this paper cites.
Mathematics of a Lady Tasting Tea
Ronald A Fisher · 1956
Earlier work this paper cites.
Modified randomization tests for nonparametric hypotheses
Meyer Dwass · 1957
Earlier work this paper cites.
Probability inequalities for sums of bounded random variables
Wassily Hoeffding · 1963
Earlier work this paper cites.
The detection of partial association, II: the general case
MW Birch · 1965
Earlier work this paper cites.
Three approaches to the quantitative definition of information
Andrei N Kolmogorov · 1965
Earlier work this paper cites.
Logical basis for information theory and probability theory
Andrei Kolmogorov · 1968
Earlier work this paper cites.
Some lower bounds of reliability
Tapas Kumar Sarkar · 1969
Earlier work this paper cites.
The theory and application of isotonic regression
RE Barlow, DJ Bartholomew, JM Bremner, and HD Brunk · 1972
Earlier work this paper cites.
Negative moments of positive random variables
Min-Te Chao and WE Strawderman · 1972
Earlier work this paper cites.
Cross-validatory choice and assessment of statistical predictions
Mervyn Stone · 1974
Earlier work this paper cites.
Reliability of subjective probability forecasts of precipitation and temperature
Allan H Murphy and Robert L Winkler · 1977
Earlier work this paper cites.
Uses of exchangeability
John FC Kingman · 1978
Earlier work this paper cites.
Regression quantiles
Roger Koenker and Gilbert Bassett Jr · 1978
Earlier work this paper cites.
A finite sample distribution-free performance bound for local discrimination rules
William H Rogers and Terry J Wagner · 1978
Earlier work this paper cites.
Distance between sampling with and without replacement
Adriaan Johannes Stam · 1978
Earlier work this paper cites.
Conditional independence in statistical theory
A Philip Dawid · 1979
Earlier work this paper cites.
Distribution-free inequalities for the deleted and holdout error estimates
Luc Devroye and Terry Wagner · 1979
Earlier work this paper cites.
Finite exchangeable sequences
Persi Diaconis and David Freedman · 1980
Earlier work this paper cites.
The well-calibrated Bayesian
A Philip Dawid · 1982
Earlier work this paper cites.
Random variables with maximum sums
Ludger Rüschendorf · 1982
Earlier work this paper cites.
The comparison and evaluation of forecasters
Morris H DeGroot and Stephen E Fienberg · 1983
Earlier work this paper cites.
Combinatorial foundations of information theory and the calculus of probabilities
Andrei N Kolmogorov · 1983
Earlier work this paper cites.
Conditional permutation tests and the propensity score in observational studies
Paul R Rosenbaum · 1984
Earlier work this paper cites.
A theory of the learnable
Leslie G Valiant · 1984
Earlier work this paper cites.
Exchangeability and related topics
David J Aldous · 1985
Earlier work this paper cites.
Testing statistical hypotheses , volume 3
Erich L Lehmann, Joseph P Romano, and George Casella · 1986
Earlier work this paper cites.
Laws of large numbers for dependent non-identically distributed random variables
Donald WK Andrews · 1988
Earlier work this paper cites.
Generalized Monte Carlo significance tests
Julian Besag and Peter Clifford · 1989
Earlier work this paper cites.
On the method of bounded differences
Colin McDiarmid · 1989
Earlier work this paper cites.
Global nonparametric estimation of conditional quantile functions and their derivatives
Probal Chaudhuri · 1991
Earlier work this paper cites.
Probability with martingales
David Williams · 1991
Earlier work this paper cites.
Controlling the false discovery rate: a practical and powerful approach to multiple testing
Yoav Benjamini and Yosef Hochberg · 1995
Earlier work this paper cites.
Regression shrinkage and selection via the lasso
Robert Tibshirani · 1996
Earlier work this paper cites.
Algorithmic stability and sanity-check bounds for leave-one-out cross-validation
Michael Kearns and Dana Ron · 1997
Earlier work this paper cites.
On nonparametric confidence intervals
Mark G Low · 1997
Earlier work this paper cites.
Asymptotic calibration
Dean P Foster and Rakesh V Vohra · 1998
Earlier work this paper cites.
Learning by transduction
Alex Gammerman, Volodya Vovk, and Vladimir Vapnik · 1998
Earlier work this paper cites.
Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
John Platt · 1999
Earlier work this paper cites.
Transduction with confidence and credibility
Craig Saunders, Alexander Gammerman, and Volodya Vovk · 1999
Earlier work this paper cites.
Machine-learning applications of algorithmic randomness
Vladimir Vovk, Alexander Gammerman, and Craig Saunders · 1999
Earlier work this paper cites.
Probability for statisticians , volume 951
Galen R Shorack · 2000
Earlier work this paper cites.
The control of the false discovery rate in multiple testing under dependency
Yoav Benjamini and Daniel Yekutieli · 2001
Earlier work this paper cites.
Probability and finance
Glenn Shafer and Vladimir Vovk · 2001
Earlier work this paper cites.
Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers
Bianca Zadrozny and Charles Elkan · 2001
Earlier work this paper cites.
Stability and generalization
Olivier Bousquet and André Elisseeff · 2002
Earlier work this paper cites.
Inductive confidence machines for regression
Harris Papadopoulos, Kostas Proedrou, Vladimir Vovk, and Alex Gammerman · 2002
Earlier work this paper cites.
Bagging regularizes
Tomaso Poggio, Ryan Rifkin, Sayan Mukherjee, and Alex Rakhlin · 2002
Earlier work this paper cites.
Transductive confidence machines for pattern recognition
Kostas Proedrou, Ilia Nouretdinov, Volodya Vovk, and Alex Gammerman · 2002
Earlier work this paper cites.
On-line confidence machines are well-calibrated
Vladimir Vovk · 2002
Earlier work this paper cites.
Transforming classifier scores into accurate multiclass probability estimates
Bianca Zadrozny and Charles Elkan · 2002
Earlier work this paper cites.
Permutation methods: a basis for exact inference
Michael D Ernst · 2004
Earlier work this paper cites.
Basic properties of strong mixing conditions. a survey and some open questions
Richard C Bradley · 2005
Earlier work this paper cites.
Stability of randomized learning algorithms
Andre Elisseeff, Theodoros Evgeniou, Massimiliano Pontil, and Leslie Pack Kaelbing · 2005
Earlier work this paper cites.
Quantile Regression
Roger Koenker · 2005
Earlier work this paper cites.
Distribution-free learning of Bayesian network structure in continuous domains
Dimitris Margaritis · 2005
Earlier work this paper cites.
Algorithmic Learning in a Random World
Vladimir Vovk, Alex Gammerman, and Glenn Shafer · 2005
Earlier work this paper cites.
Kernel measures of conditional dependence
Kenji Fukumizu, Arthur Gretton, Xiaohai Sun, and Bernhard Schölkopf · 2007
Earlier work this paper cites.
Hedging predictions in machine learning
Alexander Gammerman and Vladimir Vovk · 2007
Earlier work this paper cites.
Quantile regression
Lingxin Hao and Daniel Q Naiman · 2007
Earlier work this paper cites.
Adaptive confidence bands
Christopher Genovese and Larry Wasserman · 2008
Earlier work this paper cites.
Inductive conformal prediction: Theory and application to neural networks
Harris Papadopoulos · 2008
Earlier work this paper cites.
A tutorial on conformal prediction
Glenn Shafer and Vladimir Vovk · 2008
Earlier work this paper cites.
Introduction to Nonparametric Estimation
Alexandre B Tsybakov · 2008
Earlier work this paper cites.
Exploration–exploitation tradeoff using variance estimates in multi-armed bandits
Jean-Yves Audibert, Rémi Munos, and Csaba Szepesvári · 2009
Earlier work this paper cites.
Empirical Bernstein bounds and sample variance penalization
Andreas Maurer and Massimiliano Pontil · 2009
Earlier work this paper cites.
Permutation p-values should never be zero: calculating exact p-values when permutations are randomly drawn
Belinda Phipson and Gordon K Smyth · 2010
Earlier work this paper cites.
Learnability, stability and uniform convergence
Shai Shalev-Shwartz, Ohad Shamir, Nathan Srebro, and Karthik Sridharan · 2010
Earlier work this paper cites.
Concrete functional calculus
Richard M Dudley, Rimas Norvaiša, and Rimas Norvaiša · 2011
Earlier work this paper cites.
Cross-validation and mean-square stability
Satyen Kale, Ravi Kumar, and Sergei Vassilvitskii · 2011
Earlier work this paper cites.
Efficient nonparametric conformal prediction regions
Jing Lei, James Robins, and Larry Wasserman · 2011
Earlier work this paper cites.
Regression conformal prediction with nearest neighbours
Harris Papadopoulos, Vladimir Vovk, and Alexander Gammerman · 2011
Earlier work this paper cites.
Plug-in martingales for testing exchangeability on-line
Valentina Fedorova, Alex Gammerman, Ilia Nouretdinov, and Vladimir Vovk · 2012
Earlier work this paper cites.
Conservative hypothesis tests and confidence intervals using importance sampling
Matthew T Harrison · 2012
Earlier work this paper cites.
Asymptotic methods in statistical decision theory
Lucien Le Cam · 2012
Earlier work this paper cites.
Conditional validity of inductive conformal predictors
Vladimir Vovk · 2012
Earlier work this paper cites.
Valid post-selection inference
Richard Berk, Lawrence Brown, Andreas Buja, Kai Zhang, and Linda Zhao · 2013
Earlier work this paper cites.
Near-optimal bounds for cross-validation via loss stability
Ravi Kumar, Daniel Lokshtanov, Sergei Vassilvitskii, and Andrea Vattani · 2013
Earlier work this paper cites.
Distribution-free prediction sets
Jing Lei, James Robins, and Larry Wasserman · 2013
Earlier work this paper cites.
Monte Carlo theory, methods and examples
Art B Owen · 2013
Cited alongside, same era.
Transductive conformal predictors
Vladimir Vovk · 2013
Cited alongside, same era.
Conformal prediction for reliable machine learning: theory, adaptations and applications
Vineeth Balasubramanian, Shen-Shyang Ho, and Vladimir Vovk · 2014
Cited alongside, same era.
Efficiency of conformalized ridge regression
Evgeny Burnaev and Vladimir Vovk · 2014
Cited alongside, same era.
Adaptive confidence bands for nonparametric regression functions
T Tony Cai, Mark Low, and Zongming Ma · 2014
Cited alongside, same era.
Optimal algorithms for testing closeness of discrete distributions
Siu-On Chan, Ilias Diakonikolas, Paul Valiant, and Gregory Valiant · 2014
Cited alongside, same era.
Practical adversarial multivalid conformal prediction
Osbert Bastani, Varun Gupta, Christopher Jung, Georgy Noarov, Ramya Ramalingam, and Aaron Roth · 2022
Later among the works it cites.
Debiased machine learning without sample-splitting for stable estimators
Qizhao Chen, Vasilis Syrgkanis, and Morgane Austern · 2022
Later among the works it cites.
Conformal prediction under feedback covariate shift for biomolecular design
Clara Fannjiang, Stephen Bates, Anastasios N Angelopoulos, Jennifer Listgarten, and Michael I Jordan · 2022
Later among the works it cites.
Conformal prediction sets with limited false positives
Adam Fisch, Tal Schuster, Tommi Jaakkola, and Regina Barzilay · 2022
Later among the works it cites.
Low-degree multicalibration
Parikshit Gopalan, Michael P Kim, Mihir A Singhal, and Shengjia Zhao · 2022
Later among the works it cites.
Prediction and outlier detection in classification problems
Leying Guan and Robert Tibshirani · 2022
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A permutation-based kernel conditional independence test
Gary Doran, Krikamol Muandet, Kun Zhang, and Bernhard Schölkopf · 2014
Cited alongside, same era.
Exact post model selection inference for marginal screening
Jason D Lee and Jonathan E Taylor · 2014
Cited alongside, same era.
Classification with confidence
Jing Lei · 2014
Cited alongside, same era.
Distribution-free prediction bands for non-parametric regression
Jing Lei and Larry Wasserman · 2014
Cited alongside, same era.
Venn–Abers predictors
Vladimir Vovk and Ivan Petej · 2014
Cited alongside, same era.
Controlling the false discovery rate via knockoffs
Rina Foygel Barber and Emmanuel Candès · 2015
Cited alongside, same era.
Later among the works it cites.
Stable conformal prediction sets
Eugene Ndiaye · 2022
Later among the works it cites.
Root-finding approaches for computing conformal prediction set
Eugene Ndiaye and Ichiro Takeuchi · 2022
Later among the works it cites.
JAWS: Auditing predictive uncertainty under covariate shift
Drew Prinster, Anqi Liu, and Suchi Saria · 2022
Later among the works it cites.
Testing exchangeability: Fork-convexity, supermartingales and e-processes
Aaditya Ramdas, Johannes Ruf, Martin Larsson, and Wouter M Koolen · 2022
Later among the works it cites.
Uncertain: Modern topics in uncertainty estimation
Aaron Roth · 2022
Later among the works it cites.
Multi split conformal prediction
Aldo Solari and Vera Djordjilović · 2022
Later among the works it cites.
Adaptive conformal predictions for time series
Margaux Zaffran, Olivier Féron, Yannig Goude, Julie Josse, and Aymeric Dieuleveut · 2022
Later among the works it cites.
Uncertainty quantification via cross-validation and its variants under algorithmic stability
Nicolai Amann, Hannes Leeb, and Lukas Steinberger · 2023
Later among the works it cites.
Conformal prediction: A gentle introduction
Anastasios N Angelopoulos and Stephen Bates · 2023
Later among the works it cites.
Conformal PID control for time series prediction
Anastasios N Angelopoulos, Emmanuel Candès, and Ryan Tibshirani · 2023
Later among the works it cites.
Conformal prediction beyond exchangeability
Rina Foygel Barber, Emmanuel J Candès, Aaditya Ramdas, and Ryan J Tibshirani · 2023
Later among the works it cites.
Derandomized novelty detection with FDR control via conformal e-values
Meshi Bashari, Amir Epstein, Yaniv Romano, and Matteo Sesia · 2023
Later among the works it cites.
Testing for outliers with conformal p-values
Stephen Bates, Emmanuel Candès, Lihua Lei, Yaniv Romano, and Matteo Sesia · 2023
Later among the works it cites.
Improved online conformal prediction via strongly adaptive online learning
Aadyot Bhatnagar, Huan Wang, Caiming Xiong, and Yu Bai · 2023
Later among the works it cites.
Training-conditional coverage for distribution-free predictive inference
Michael Bian and Rina Foygel Barber · 2023
Later among the works it cites.
A unifying theory of distance from calibration
Jarosław Błasiok, Parikshit Gopalan, Lunjia Hu, and Preetum Nakkiran · 2023
Later among the works it cites.
Conformalized survival analysis
Emmanuel Candès, Lihua Lei, and Zhimei Ren · 2023
Later among the works it cites.
Class-conditional conformal prediction with many classes
Tiffany Ding, Anastasios Angelopoulos, Stephen Bates, Michael Jordan, and Ryan J Tibshirani · 2023
Later among the works it cites.
Distribution-free prediction sets for two-layer hierarchical models
Robin Dunn, Larry Wasserman, and Aaditya Ramdas · 2023
Later among the works it cites.
Achieving risk control in online learning settings
Shai Feldman, Liran Ringel, Stephen Bates, and Yaniv Romano · 2023
Later among the works it cites.
Localized conformal prediction: A generalized inference framework for conformal prediction
Leying Guan · 2023
Later among the works it cites.
Bayes-optimal prediction with frequentist coverage control
Peter Hoff · 2023
Later among the works it cites.
Uncertainty quantification over graph with conformalized graph neural networks
Kexin Huang, Ying Jin, Emmanuel Candès, and Jure Leskovec · 2023
Later among the works it cites.
Tight distribution-free confidence intervals for local quantile regression
Jayoon Jang and Emmanuel Candès · 2023
Later among the works it cites.
Selection by prediction with conformal p-values
Ying Jin and Emmanuel J Candès · 2023
Later among the works it cites.
Sensitivity analysis of individual treatment effects: A robust conformal inference approach
Ying Jin, Zhimei Ren, and Emmanuel J Candès · 2023
Later among the works it cites.
Batch multivalid conformal prediction
Christopher Jung, Georgy Noarov, Ramya Ramalingam, and Aaron Roth · 2023
Later among the works it cites.
Black-box tests for algorithmic stability
Byol Kim and Rina Foygel Barber · 2023
Later among the works it cites.
JAWS-x: Addressing efficiency bottlenecks of conformal prediction under standard and feedback covariate shift
Drew Prinster, Suchi Saria, and Anqi Liu · 2023
Later among the works it cites.
Game-theoretic statistics and safe anytime-valid inference
Aaditya Ramdas, Peter Grünwald, Vladimir Vovk, and Glenn Shafer · 2023
Later among the works it cites.
Conditional predictive inference for stable algorithms
Lukas Steinberger and Hannes Leeb · 2023
Later among the works it cites.
How to trust your diffusion model: A convex optimization approach to conformal risk control
Jacopo Teneggi, Matthew Tivnan, Web Stayman, and Jeremias Sulam · 2023
Later among the works it cites.
What is a randomization test?
Yao Zhang and Qingyuan Zhao · 2023
Later among the works it cites.
Note on full conformal risk control
Anastasios N Angelopoulos · 2024
Closest in time.
Selective conformal inference with false coverage-statement rate control
Yajie Bao, Yuyang Huo, Haojie Ren, and Changliang Zou · 2024
Closest in time.
Optimal conformal prediction for small areas
Elizabeth Bersson and Peter D Hoff · 2024
Closest in time.
Robust validation: Confident predictions even when distributions shift
Maxime Cauchois, Suyash Gupta, Alnur Ali, and John C Duchi · 2024
Closest in time.
Cross-validation conformal risk control
Kfir M Cohen, Sangwoo Park, Osvaldo Simeone, and Shlomo Shamai Shitz · 2024
Closest in time.
Predictive inference in multi-environment scenarios
John C Duchi, Suyash Gupta, Kuanhao Jiang, and Pragya Sur · 2024
Closest in time.
Merging uncertainty sets via majority vote
Matteo Gasparin and Aaditya Ramdas · 2024
Closest in time.
Asymptotics for conformal inference
Ulysse Gazin · 2024
Closest in time.
Transductive conformal inference with adaptive scores
Ulysse Gazin, Gilles Blanchard, and Etienne Roquain · 2024
Closest in time.
Conformal inference for online prediction with arbitrary distribution shifts
Isaac Gibbs and Emmanuel J Candès · 2024
Closest in time.
Conformalized survival analysis with adaptive cut-offs
Yu Gui, Rohan Hore, Zhimei Ren, and Rina Foygel Barber · 2024
Closest in time.
Conformal prediction with local weights: randomization enables robust guarantees
Rohan Hore and Rina Foygel Barber · 2024
Closest in time.
A two-sample conditional distribution test using conformal prediction and weighted rank sum
Xiaoyu Hu and Jing Lei · 2024
Closest in time.
More efficient exact group invariance testing: using a representative subgroup
Nick W Koning and Jesse Hemerik · 2024
Closest in time.
Boosting e-BH via conditional calibration
Junu Lee and Zhimei Ren · 2024
Closest in time.
Is algorithmic stability testable? A unified framework under computational constraints
Yuetian Luo and Rina Foygel Barber · 2024
Closest in time.
Adaptive novelty detection with false discovery rate guarantee
Ariane Marandon, Lihua Lei, David Mary, and Etienne Roquain · 2024
Closest in time.
Split conformal prediction and non-exchangeable data
Roberto I Oliveira, Paulo Orenstein, Thiago Ramos, and Joao Vitor Romano · 2024
Closest in time.
Adaptive conformal inference by betting
Aleksandr Podkopaev, Darren Xu, and Kuang-Chih Lee · 2024
Closest in time.
Conformal validity guarantees exist for any data distribution (and how to find them)
Drew Prinster, Samuel Don Stanton, Anqi Liu, and Suchi Saria · 2024
Closest in time.
Integrating uncertainty awareness into conformalized quantile regression
Raphael Rossellini, Rina Foygel Barber, and Rebecca Willett · 2024
Closest in time.
On Azadkia–Chatterjee’s conditional dependence coefficient
Hongjian Shi, Mathias Drton, and Fang Han · 2024
Closest in time.
Bagging provides assumption-free stability
Jake A Soloff, Rina Foygel Barber, and Rebecca Willett · 2024
Closest in time.
Self-calibrating conformal prediction
Lars van der Laan and Ahmed M Alaa · 2024
Closest in time.
Estimating means of bounded random variables by betting
Ian Waudby-Smith and Aaditya Ramdas · 2024
Closest in time.
Selection and aggregation of conformal prediction sets
Yachong Yang and Arun Kumar Kuchibhotla · 2024
Closest in time.
Doubly robust calibration of prediction sets under covariate shift
Yachong Yang, Arun Kumar Kuchibhotla, and Eric Tchetgen Tchetgen · 2024
Closest in time.
Conformal sensitivity analysis for individual treatment effects
Mingzhang Yin, Claudia Shi, Yixin Wang, and David M Blei · 2024
Closest in time.
Discounted adaptive online learning: Towards better regularization
Zhiyu Zhang, David Bombara, and Heng Yang · 2024
Closest in time.
Online conformal prediction via online optimization
Felipe Areces, Christopher Mohri, Tatsunori Hashimoto, and John Duchi · 2025
Closest in time.
CLEAR: Calibrated learning for epistemic and aleatoric risk
Ilia Azizi, Juraj Bodik, Jakob Heiss, and Bin Yu · 2025
Closest in time.
Predictive inference for time series: why is split conformal effective despite temporal dependence?
Rina Foygel Barber and Ashwin Pananjady · 2025
Closest in time.
Unifying different theories of conformal prediction
Rina Foygel Barber and Ryan J Tibshirani · 2025
Closest in time.
Alberto Bordino and Thomas B Berrett · 2025
Closest in time.
Symmpi: predictive inference for data with group symmetries
Edgar Dobriban and Mengxin Yu · 2025
Closest in time.
Carles Domingo-Enrich, Raaz Dwivedi, and Lester Mackey · 2025
Closest in time.
Volume optimality in conformal prediction with structured prediction sets
Chao Gao, Liren Shan, Vaidehi Srinivas, and Aravindan Vijayaraghavan · 2025
Closest in time.
Conformal prediction with conditional guarantees
Isaac Gibbs, John J Cherian, and Emmanuel J Candès · 2025
Closest in time.
Model-free selective inference under covariate shift via weighted conformal p-values
Ying Jin and Emmanuel J Candès · 2025
Closest in time.
Confidence on the focal: Conformal prediction with selection-conditional coverage
Ying Jin and Zhimei Ren · 2025
Closest in time.
Algorithmic stability implies training-conditional coverage for distribution-free prediction methods
Ruiting Liang and Rina Foygel Barber · 2025
Closest in time.
Universal distribution of the empirical coverage in split conformal prediction
Paulo C Marques F · 2025
Closest in time.
Near-optimal algorithms for omniprediction
Princewill Okoroafor, Robert Kleinberg, and Michael P Kim · 2025
Closest in time.
Hypothesis testing with e-values
Aaditya Ramdas and Ruodu Wang · 2025
Closest in time.
Can a calibration metric be both testable and actionable?
Raphael Rossellini, Jake A Soloff, Rina Foygel Barber, Zhimei Ren, and Rebecca Willett · 2025
Closest in time.
Generalized Venn and Venn–Abers calibration with applications in conformal prediction
Lars van der Laan and Ahmed Alaa · 2025
Closest in time.
Universality of conformal prediction under the assumption of randomness
Vladimir Vovk · 2025
Closest in time.
Conformal risk control for non-monotonic losses
Anastasios N Angelopoulos · 2026
Closest in time.
Conformal changepoint localization
Rohan Hore and Aaditya Ramdas · 2026
Closest in time.
Online conformal prediction via universal portfolio algorithms
Tuo Liu, Edgar Dobriban, and Francesco Orabona · 2026
Closest in time.
Testing for distribution shifts with conditional conformal test martingales
Shalev Shaer, Yarin Bar, Drew Prinster, and Yaniv Romano · 2026
Closest in time.
Online conformal prediction with efficiency guarantees
Vaidehi Srinivas · 2026
Closest in time.
Randomness, exchangeability, and conformal prediction
Vladimir Vovk · 2026
Closest in time.