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Conformal prediction equips machine learning models with a reasonable notion of uncertainty quantification without making strong distributional assumptions.
The weighted majority algorithm
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Data analysis and data mining: An introduction
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Conditional validity of inductive conformal predictors
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de Rooij, S., van Erven, T., Grünwald, P. D., and Koolen, W. M. (2014) · 2014
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Beijing Multi-Site Air Quality
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Combination of conformal predictors for classification
Toccaceli, P. and Gammerman, A. (2017) · 2017
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Exact and robust conformal inference methods for predictive machine learning with dependent data
Chernozhukov, V., Wüthrich, K., and Yinchu, Z. (2018) · 2018
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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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S&P 500 stock data
Nguyen, C. (2018) · 2018
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Majority vote ensembles of conformal predictors
Cherubin, G. (2019) · 2019
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Admissible ways of merging p-values under arbitrary dependence
Vovk, V., Wang, B., and Wang, R. (2022) · 2022
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Conformal prediction: A gentle introduction
Angelopoulos, A. N. and Bates, S. (2023) · 2023
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Conformal prediction beyond exchangeability
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The determinants of Airbnb prices in New York City: a spatial quantile regression approach
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Distribution-free prediction sets for two-layer hierarchical models
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UTOPIA: Universally trainable optimal prediction intervals aggregation
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Romano, Y., Patterson, E., and Candes, E. (2019) · 2019
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Conformal prediction under covariate shift
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Classification with valid and adaptive coverage
Romano, Y., Sesia, M., and Candes, E. (2020) · 2020
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Predictive inference with the jackknife+
Barber, R. F., Candès, E. J., Ramdas, A., and Tibshirani, R. J. (2021) · 2021
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Adaptive conformal inference under distribution shift
Gibbs, I. and Candès, E. (2021) · 2021
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Mining the productivity data of the garment industry
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One-shot federated conformal prediction
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Adaptive conformal predictions for time series
Zaffran, M., Féron, O., Goude, Y., Josse, J., and Dieuleveut, A. (2022) · 2023
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Merging uncertainty sets via majority vote
Gasparin, M. and Ramdas, A. (2024) · 2024
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Conformal inference for online prediction with arbitrary distribution shifts
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Randomized and exchangeable improvements of Markov’s, Chebyshev’s and Chernoff’s inequalities
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Beyond conformal predictors: Adaptive conformal inference with confidence predictors
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Selection and aggregation of conformal prediction sets
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Training-conditional coverage for distribution-free predictive inference
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