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Conformal prediction builds marginally valid prediction intervals that cover the unknown outcome of a randomly drawn test point with a prescribed probability.
Controlling the false discovery rate: a practical and powerful approach to multiple testing
Benjamini, Y. and Hochberg, Y. (1995) · 1995
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Mondrian confidence machine
Vovk, V., Lindsay, D. G., and Nouretdinov, I. (2003) · 2003
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False discovery rate–adjusted multiple confidence intervals for selected parameters
Benjamini, Y. and Yekutieli, D. (2005) · 2005
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Algorithmic learning in a random world
Vovk, V., Gammerman, A., and Shafer, G. (2005) · 2005
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Bias-reduced estimators and confidence intervals for odds ratios in genome-wide association studies
Zhong, H. and Prentice, R. L. (2008) · 2005
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A (tight) upper bound for the length of confidence intervals with conditional coverage
Kivaranovic, D. and Leeb, H. (2020) · 2007
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Extended-connectivity fingerprints
Rogers, D. and Hahn, M. (2010) · 2010
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Combined mathematical programming and heuristics for a radiotherapy pre-treatment scheduling problem
Castro, E. and Petrovic, S. (2012) · 2012
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Valid post-selection inference
Berk, R., Brown, L., Buja, A., Zhang, K., and Zhao, L. (2013) · 2013
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Selection adjusted confidence intervals with more power to determine the sign
Weinstein, A., Fithian, W., and Benjamini, Y. (2013) · 2013
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Dynamic scheduling with due dates and time windows: an application to chemotherapy patient appointment booking
Gocgun, Y. and Puterman, M. L. (2014) · 2014
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Optimized appointment scheduling
Kemper, B., Klaassen, C. A., and Mandjes, M. (2014) · 2014
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Valid post-selection and post-regularization inference: An elementary, general approach
Chernozhukov, V., Hansen, C., and Spindler, M. (2015) · 2015
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Exact post-selection inference, with application to the lasso
Lee, J. D., Sun, D. L., Sun, Y., and Taylor, J. E. (2016) · 2016
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Exact post-selection inference for sequential regression procedures
Tibshirani, R. J., Taylor, J., Lockhart, R., and Tibshirani, R. (2016) · 2016
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Outpatient appointment systems in healthcare: A review of optimization studies
Ahmadi-Javid, A., Jalali, Z., and Klassen, K. J. (2017) · 2017
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Unifying approach to selective inference with applications to cross-validation
Markovic, J., Xia, L., and Taylor, J. (2017) · 2017
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Improving predictions of pediatric surgical durations with supervised learning
Master, N., Zhou, Z., Miller, D., Scheinker, D., Bambos, N., and Glynn, P. (2017) · 2017
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Post-selection point and interval estimation of signal sizes in gaussian samples
Reid, S., Taylor, J., and Tibshirani, R. (2017) · 2017
Cited alongside, same era.
Improving screening efficiency through iterative screening using docking and conformal prediction
Svensson, F., Norinder, U., and Bender, A. (2017) · 2017
Cited alongside, same era.
Asymptotics of selective inference
Tian, X. and Taylor, J. (2017) · 2017
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Distribution-free predictive inference for regression
Lei, J., G’Sell, M., Rinaldo, A., Tibshirani, R. J., and Wasserman, L. (2018) · 2018
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Bayesian optimization for accelerated drug discovery
Pyzer-Knapp, E. O. (2018) · 2018
Machine learning meets false discovery rate
Marandon, A., Lei, L., Mary, D., and Roquain, E. (2022) · 2022
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Estimating diagnostic uncertainty in artificial intelligence assisted pathology using conformal prediction
Olsson, H., Kartasalo, K., Mulliqi, N., Capuccini, M., Ruusuvuori, P., Samaratunga, H., Delahunt, B., Lindskog, C., Janssen, E. A., Blilie, A., et al. (2022) · 2022
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Post-selection inference for e-value based confidence intervals
Xu, Z., Wang, R., and Ramdas, A. (2022) · 2022
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Testing for outliers with conformal p-values
Bates, S., Candès, E., Lei, L., Romano, Y., and Sesia, M. (2023) · 2023
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Mimic-iv, a freely accessible electronic health record dataset
Johnson, A. E., Bulgarelli, L., Shen, L., Gayles, A., Shammout, A., Horng, S., Pollard, T. J., Hao, S., Moody, B., Gow, B., et al. (2023) · 2023
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Cited alongside, same era.
Maximizing gain in high-throughput screening using conformal prediction
Svensson, F., Afzal, A. M., Norinder, U., and Bender, A. (2018) · 2018
Cited alongside, same era.
Uniform asymptotic inference and the bootstrap after model selection
Tibshirani, R. J., Rinaldo, A., Tibshirani, R., and Wasserman, L. (2018) · 2018
Cited alongside, same era.
Conformalized quantile regression
Romano, Y., Patterson, E., and Candes, E. (2019) · 2019
Cited alongside, same era.
Deeppurpose: a deep learning library for drug–target interaction prediction
Huang, K., Fu, T., Glass, L. M., Zitnik, M., Xiao, C., and Sun, J. (2020) · 2020
Cited alongside, same era.
Classification with valid and adaptive coverage
Romano, Y., Sesia, M., and Candes, E. (2020) · 2020
Cited alongside, same era.
Online control of the false coverage rate and false sign rate
Weinstein, A. and Ramdas, A. (2020) · 2020
Cited alongside, same era.
Later among the works it cites.
How to boost business decisions with conformal prediction and confidence
Levitskaya, V. (2023) · 2023
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An exact sampler for inference after polyhedral model selection
Liu, S. (2023) · 2023
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Python package mknapsack 1.1.12
mknapsack (2023) · 2023
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Robots that ask for help: Uncertainty alignment for large language model planners
Ren, A. Z., Dixit, A., Bodrova, A., Singh, S., Tu, S., Brown, N., Xu, P., Takayama, L., Xia, F., Varley, J., et al. (2023) · 2023
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Post-selection inference for conformal prediction: Trading off coverage for precision
Sarkar, S. and Kuchibhotla, A. K. (2023) · 2023
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Inference on winners
Andrews, I., Kitagawa, T., and McCloskey, A. (2024) · 2024
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Selective conformal inference with false coverage-statement rate control
Bao, Y., Huo, Y., Ren, H., and Zou, C. (2024) · 2024
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Derandomized novelty detection with fdr control via conformal e-values
Bashari, M., Epstein, A., Romano, Y., and Sesia, M. (2024) · 2024
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Selecting informative conformal prediction sets with false coverage rate control
Gazin, U., Heller, R., Marandon, A., and Roquain, E. (2024) · 2024
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Codrug: Conformal drug property prediction with density estimation under covariate shift
Laghuvarapu, S., Lin, Z., and Sun, J. (2024) · 2024
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Hybrid confidence intervals for informative uniform asymptotic inference after model selection
McCloskey, A. (2024) · 2024
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Conformalized selective regression
Sokol, A., Moniz, N., and Chawla, N. (2024) · 2024
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