Fetching the paper…
Reading the bibliography…
Modern black-box predictive models are often accompanied by weak performance guarantees that only hold asymptotically in the size of the dataset or require strong parametric assumptions.
Conformal prediction with localization
L. Guan · 1908
Earlier work this paper cites.
Flexible distribution-free conditional predictive bands using density estimators
R. Izbicki, G. T. Shimizu, and R. B. Stern · 1910
Earlier work this paper cites.
Teoria statistica delle classi e calcolo delle probabilita
C. E. Bonferroni · 1936
Earlier work this paper cites.
Determination of sample sizes for setting tolerance limits
S. S. Wilks · 1941
Earlier work this paper cites.
An extension of Wilks’ method for setting tolerance limits
A. Wald · 1943
Earlier work this paper cites.
Non-parametric estimation. I. Validation of order statistics
H. Scheffe and J. W. Tukey · 1945
Earlier work this paper cites.
Non-parametric estimation II. Statistically equivalent blocks and tolerance regions – The continuous case
J. W. Tukey · 1947
Earlier work this paper cites.
Nonparametric estimation, III. Statistically equivalent blocks and multivariate tolerance regions – The discontinuous case
J. W. Tukey · 1948
Earlier work this paper cites.
Nonparametric estimation IV
D. A. S. Fraser and R. Wormleighton · 1951
Earlier work this paper cites.
Sequentially determined statistically equivalent blocks
D. A. S. Fraser · 1951
Earlier work this paper cites.
Nonparametric tolerance regions
D. A. S. Fraser · 1953
Earlier work this paper cites.
Generalized tolerance limits
J. H. B. Kemperman · 1956
Earlier work this paper cites.
Tolerance regions
D. A. S. Fraser and I. Guttman · 1956
Earlier work this paper cites.
Nonparametric Methods in Statistics
D. A. S. Fraser · 1957
Earlier work this paper cites.
Probability inequalities for sums of bounded random variables
W. Hoeffding · 1963
Earlier work this paper cites.
Statistical Tolerance Regions: Classical and Bayesian
I. Guttman · 1970
Earlier work this paper cites.
A theory of the learnable
L. G. Valiant · 1972
Earlier work this paper cites.
Regression quantiles
R. Koenker and G. Bassett Jr · 1978
Earlier work this paper cites.
A simple sequentially rejective multiple test procedure
S. Holm · 1979
Earlier work this paper cites.
An empirical quantile function for linear models with iid errors
G. Bassett Jr and R. Koenker · 1982
Earlier work this paper cites.
Multiple testing in clinical trials
P. Bauer · 1991
Earlier work this paper cites.
Modeling of strength of high-performance concrete using artificial neural networks
I.-C. Yeh · 1998
Earlier work this paper cites.
An overview of statistical learning theory
V. N. Vapnik · 1999
Earlier work this paper cites.
PAC confidence sets for deep neural networks via calibrated prediction
S. Park, O. Bastani, N. Matni, and I. Lee · 2001
Earlier work this paper cites.
Inductive confidence machines for regression
H. Papadopoulos, K. Proedrou, V. Vovk, and A. Gammerman · 2002
Earlier work this paper cites.
A data-driven software tool for enabling cooperative information sharing among police departments
M. Remond and A. Baveja · 2002
Earlier work this paper cites.
On Hoeffding’s inequalities
V. Bentkus · 2004
Earlier work this paper cites.
Algorithmic Learning in a Random World
V. Vovk, A. Gammerman, and G. Shafer · 2005
Cited alongside, same era.
Quantile regression forests
N. Meinshausen · 2006
Cited alongside, same era.
Valid model-free spatial prediction
H. Mao, R. Martin, and B. Reich · 2006
Cited alongside, same era.
Nonparametric quantile estimation
I. Takeuchi, Q. V. Le, T. D. Sears, and A. J. Smola · 2006
Cited alongside, same era.
Efficient conformal prediction via cascaded inference with expanded admission
A. Fisch, T. Schuster, T. Jaakkola, and R. Barzilay · 2007
Cited alongside, same era.
Concrete compressive strength data set
I.-C. Yeh · 2007
Cited alongside, same era.
Y. Hechtlinger, B. Póczos, and L. Wasserman · 2018
Later among the works it cites.
Conformalized quantile regression
Y. Romano, E. Patterson, and E. J. Candès · 2019
Later among the works it cites.
Conformal prediction under covariate shift
R. J. Tibshirani, R. F. Barber, E. J. Candès, and A. Ramdas · 2019
Later among the works it cites.
Efficient conformal predictor ensembles
H. Linusson, U. Johansson, and H. Boström · 2019
Later among the works it cites.
Predicting with confidence: using conformal prediction in drug discovery
J. Alvarsson, S. A. McShane, U. Norinder, and O. Spjuth · 2020
Later among the works it cites.
How the washington post estimates outstanding votes for the 2020 presidential election
J. Cherian and L. Bronner · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A tutorial on conformal prediction
G. Shafer and V. Vovk · 2008
Cited alongside, same era.
Robust validation: Confident predictions even when distributions shift
M. Cauchois, S. Gupta, A. Ali, and J. C. Duchi · 2008
Cited alongside, same era.
Tennessee’s student teacher achievement ratio (STAR) project, 2008
C. M. Achilles, H. P. Bain, F. Bellott, J. Boyd-Zaharias, J. Finn, J. Folger, J. Johnston, and E. Word · 2008
Cited alongside, same era.
On-line predictive linear regression
V. Vovk, I. Nouretdinov, and A. Gammerman · 2009
Cited alongside, same era.
Uncertainty sets for image classifiers using conformal prediction
A. N. Angelopoulos, S. Bates, J. Malik, and M. I. Jordan · 2009
Cited alongside, same era.
Statistical Tolerance Regions: Theory, Applications, and Computation
K. Krishnamoorthy and T. Mathew · 2009
Cited alongside, same era.
Later among the works it cites.
Predictive inference is free with the jackknife+-after-bootstrap
B. Kim, C. Xu, and R. F. Barber · 2020
Later among the works it cites.
Consistent accelerated inference via confident adaptive transformers
T. Schuster, A. Fisch, T. Jaakkola, and R. Barzilay · 2021
Later among the works it cites.
Nested conformal prediction and quantile out-of-bag ensemble methods
C. Gupta, A. K. Kuchibhotla, and A. Ramdas · 2021
Later among the works it cites.
Distribution-free, risk-controlling prediction sets
S. Bates, A. N. Angelopoulos, L. Lei, J. Malik, and M. I. Jordan · 2021
Later among the works it cites.
Distribution-free uncertainty quantification for classification under label shift
A. Podkopaev and A. Ramdas · 2021
Later among the works it cites.
Adaptive conformal inference under distribution shift
I. Gibbs and E. J. Candès · 2021
Later among the works it cites.
An exact and robust conformal inference method for counterfactual and synthetic controls
V. Chernozhukov, K. Wüthrich, and Y. Zhu · 2021
Later among the works it cites.
A. N. Angelopoulos, S. Bates, T. Zrnic, and M. I. Jordan · 2021
Later among the works it cites.
Knowing what you know: Valid and validated confidence sets in multiclass and multilabel prediction
M. Cauchois, S. Gupta, and J. C. Duchi · 2021
Later among the works it cites.
A gentle introduction to conformal prediction and distribution-free uncertainty quantification
A. N Angelopoulos and S. Bates · 2022
Closest in time.
PAC prediction sets under covariate shift
S. Park, E. Dobriban, I. Lee, and O. Bastani · 2022
Closest in time.
Distribution-free prediction sets adaptive to unknown covariate shift
H. Qiu, E. Dobriban, and E. T. Tchetgen · 2022
Closest in time.
Conformal prediction beyond exchangeability
R. F. Barber, E. J. Candès, A. Ramdas, and R. J. Tibshirani · 2022
Closest in time.
Conformal sensitivity analysis for individual treatment effects
M. Yin, C. Shi, Y. Wang, and D. M. Blei · 2022
Closest in time.
Conformalized survival analysis
E. J. Candès, L. Lei, and Z. Ren · 2022
Closest in time.
Conformal prediction for the design problem
C. Fannjiang, S. Bates, A. N. Angelopoulos, J. Listgarten, and M. I. Jordan · 2022
Closest in time.
Distribution-free prediction sets for two-layer hierarchical models
R. Dunn, L. Wasserman, and A. Ramdas · 2022
Closest in time.
Split conformal prediction for dependent data
R. I. Oliveira, P. Orenstein, T. Ramos, and J. V. Romano · 2022
Closest in time.
Conformal off-policy prediction in contextual bandits
M. F. Taufiq, J. Ton, R. Cornish, Y. W. Teh, and A. Doucet · 2022
Closest in time.
Prediction and outlier detection in classification problems
L. Guan and R. J. Tibshirani · 2022
Closest in time.