Fetching the paper…
Reading the bibliography…
Conformal prediction is a simple and powerful tool that can quantify uncertainty without any distributional assumptions.
On estimating regression
Elizbar A Nadaraya · 1964
Earlier work this paper cites.
Smooth regression analysis
Geoffrey S Watson · 1964
Earlier work this paper cites.
A quantile regression neural network approach to estimating the conditional density of multiperiod returns
James W Taylor · 2000
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.
Algorithmic learning in a random world
Vladimir Vovk, Alex Gammerman, and Glenn Shafer · 2005
Earlier work this paper cites.
Quantile regression forests
Nicolai Meinshausen and Greg Ridgeway · 2006
Earlier work this paper cites.
A tutorial on conformal prediction
Glenn Shafer and Vladimir Vovk · 2008
Earlier work this paper cites.
Active learning using conformal predictors: application to image classification
Lázaro Emílio Makili, Jesús A Vega Sánchez, and Sebastián Dormido-Canto · 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.
Signed-error conformal regression
Henrik Linusson, Ulf Johansson, and Tuve Löfström · 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.
Dex: Deep expectation of apparent age from a single image
Rasmus Rothe, Radu Timofte, and Luc Van Gool · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Lasso and ridge quantile regression using cross validation to estimate extreme rainfall
Hilda Zaikarina, Anik Djuraidah, and Aji Hamim Wigena · 2016
Earlier work this paper cites.
Converting high-dimensional regression to high-dimensional conditional density estimation
Rafael Izbicki and Ann B. Lee · 2017
Earlier work this paper cites.
Inductive conformal martingales for change-point detection
Denis Volkhonskiy, Evgeny Burnaev, Ilia Nouretdinov, Alexander Gammerman, and Vladimir Vovk · 2017
Cited alongside, same era.
Age progression/regression by conditional adversarial autoencoder
Zhang Zhifei, Song Yang, and Qi Hairong · 2017
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.
Deep expectation of real and apparent age from a single image without facial landmarks
Rasmus Rothe, Radu Timofte, and Luc Van Gool · 2018
Cited alongside, same era.
The limits of distribution-free conditional predictive inference
Rina Foygel Barber, Emmanuel J Candes, Aaditya Ramdas, and Ryan J Tibshirani · 2019
Cited alongside, same era.
A gentle introduction to conformal prediction and distribution-free uncertainty quantification
Anastasios N Angelopoulos and Stephen Bates · 2021
Later among the works it cites.
Testing for outliers with conformal p-values
Stephen Bates, Emmanuel Candès, Lihua Lei, Yaniv Romano, and Matteo Sesia · 2021
Later among the works it cites.
Conformalized survival analysis
Emmanuel J Candès, Lihua Lei, and Zhimei Ren · 2021
Later among the works it cites.
Distributional conformal prediction
Victor Chernozhukov, Kaspar Wüthrich, and Yinchu Zhu · 2021
Later among the works it cites.
Improving conditional coverage via orthogonal quantile regression
Shai Feldman, Stephen Bates, and Yaniv Romano · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Leying Guan · 2019
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.
Inductive conformal predictor for convolutional neural networks: Applications to active learning for image classification
Sergio Matiz and Kenneth E Barner · 2019
Cited alongside, same era.
Conformalized quantile regression
Yaniv Romano, Evan Patterson, and Emmanuel J Candès · 2019
Cited alongside, same era.
Conformal prediction under covariate shift
Ryan Tibshirani and Rina Foygel · 2019
Cited alongside, same era.
Uncertainty sets for image classifiers using conformal prediction
Anastasios Angelopoulos, Stephen Bates, Jitendra Malik, and Michael I Jordan · 2020
Cited alongside, same era.
Cd-split and hpd-split: efficient conformal regions in high dimensions
Rafael Izbicki, Gilson Shimizu, and Rafael B Stern · 2020
Cited alongside, same era.
Few-shot conformal prediction with auxiliary tasks
Adam Fisch, Tal Schuster, Tommi Jaakkola, and Regina Barzilay · 2021
Later among the works it cites.
Adaptive conformal inference under distribution shift
Isaac Gibbs and Emmanuel Candes · 2021
Later among the works it cites.
Localized conformal prediction: A generalized inference framework for conformal prediction
Leying Guan · 2021
Later among the works it cites.
Locally valid and discriminative prediction intervals for deep learning models
Zhen Lin, Shubhendu Trivedi, and Jimeng Sun · 2021
Later among the works it cites.
Conformal prediction using conditional histograms
Matteo Sesia and Yaniv Romano · 2021
Later among the works it cites.
T-sci: A two-stage conformal inference algorithm with guaranteed coverage for cox-mlp
Jiaye Teng, Zeren Tan, and Yang Yuan · 2021
Later among the works it cites.
Training uncertainty-aware classifiers with conformalized deep learning
Bat-Sheva Einbinder, Yaniv Romano, Matteo Sesia, and Yanfei Zhou · 2022
Closest in time.
Conformal prediction with temporal quantile adjustments
Zhen Lin, Shubhendu Trivedi, and Jimeng Sun · 2022
Closest in time.
Learning optimal conformal classifiers
David Stutz, Krishnamurthy Dj Dvijotham, Ali Taylan Cemgil, and Arnaud Doucet · 2022
Closest in time.
Adaptive conformal predictions for time series
Margaux Zaffran, Olivier Féron, Yannig Goude, Julie Josse, and Aymeric Dieuleveut · 2022
Closest in time.