MAPIE: an open-source library for distribution-free uncertainty quantification

Notes on bias in estimation

M. H. Quenouille · 1956

Earlier work this paper cites.

Bootstrap methods: Another look at the jackknife

B. Efron · 1979

Earlier work this paper cites.

Scikit-learn: Machine learning in Python

F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay · 2011

Earlier work this paper cites.

Least ambiguous set-valued classifiers with bounded error levels

Sadinlem M., J. Lei, and L. Wasserman · 2019

Earlier work this paper cites.

Conformalized quantile regression

Y. Romano, E. Patterson, and E. Candes · 2019

Earlier work this paper cites.

Conformal prediction under covariate shift, 2019

R. J. Tibshirani, R. Foygel Barber, E. J. Candes, and A. Ramdas · 2019

Earlier work this paper cites.

Predictive inference is free with the jackknife+-after-bootstrap

B. Kim, C. Xu, and Rina Barber · 2020

Cited alongside, same era.

Conformal prediction for dynamic time-series, 2020

C. Xu and Y. Xie · 2020

Cited alongside, same era.

Classification with valid and adaptive coverage

Y. Romano, M. Sesia, and E. Candes · 2020

Cited alongside, same era.

Uncertainty sets for image classifiers using conformal prediction

A. Angelopoulos, S. Bates, J. Malik, and M. I. Jordan · 2020

Cited alongside, same era.

Accessed: 2021-06-10

https://github.com/ryantibs/conformal · 2021

Cited alongside, same era.

Predictive inference with the jackknife+

R. Foygel Barber, E. J. Candès, A. Ramdas, and R. J. Tibshirani · 2021

Cited alongside, same era.

Adaptive conformal inference under distribution shift

I. Gibbs and E. Candes · 2021

Later among the works it cites.

Copula-based conformal prediction for multi-target regression, 2021

S. Messoudi, S. Destercke, and S. Rousseau · 2021

Later among the works it cites.

Distribution-free uncertainty quantification for classification under label shift, 2021

A. Podkopaev and A. Ramdas · 2021

Later among the works it cites.

Distribution-free, risk-controlling prediction sets

S. Bates, A. Angelopoulos, L. Lei, J. Malik, and M. Jordan · 2021

Later among the works it cites.

Learn then test: Calibrating predictive algorithms to achieve risk control

Original

A. N Angelopoulos, S. Bates, E. J Candès, M. I. Jordan, and L. Lei · 2021

Later among the works it cites.

Accessed: 2022-05-30

https://github.com/IBM/UQ360 · 2022