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Conformal Prediction (CP) is a distribution-free uncertainty estimation framework that constructs prediction sets guaranteed to contain the true answer with a user-specified probability.
The transmission of information , volume 65
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Liese, F. and Vajda, I · 2006
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Shafer, G. and Vovk, V · 2008
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Learning multiple layers of features from tiny images, 2009
Krizhevsky, A. et al · 2009
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Empirical bernstein bounds and sample variance penalization
Maurer, A. and Pontil, M · 2009
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Reliable diagnosis of acute abdominal pain with conformal prediction
Papadopoulos, H., Gammerman, A., and Vovk, V · 2009
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Channel Coding Rate in the Finite Blocklength Regime
Polyanskiy, Y., Poor, H. V., and Verdu, S · 2010
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Information theory: coding theorems for discrete memoryless systems
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Conditional validity of inductive conformal predictors
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Concentration of measure inequalities in information theory, communications, and coding
Raginsky, M. and Sason, I · 2013
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Distribution-free prediction bands for non-parametric regression
Lei, J. and Wasserman, L · 2014
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List Decoding—Random Coding Exponents and Expurgated Exponents
Merhav, N · 2014
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Polyanskiy, Y. and Wu, Y · 2014
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Conformal prediction technique to predict breast cancer survivability
Alnemer, L. M., Rajab, L., and Aljarah, I · 2016
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Deep residual learning for image recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
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Torchvision: Pytorch’s computer vision library
maintainers, T. and contributors · 2016
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Uncertainty sets for image classifiers using conformal prediction
Angelopoulos, A., Bates, S., Malik, J., and Jordan, M. I · 2020
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Fast differentiable sorting and ranking
Blondel, M., Teboul, O., Berthet, Q., and Djolonga, J · 2020
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Training conformal predictors
Colombo, N. and Vovk, V · 2020
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Distribution-free binary classification: prediction sets, confidence intervals and calibration
Gupta, C., Podkopaev, A., and Ramdas, A · 2020
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Exchangeability, conformal prediction, and rank tests
Kuchibhotla, A. K · 2020
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A survey of deep learning applications to autonomous vehicle control
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Sason, I. and Verdú, S · 2016
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Criteria of efficiency for conformal prediction
Vovk, V., Fedorova, V., Nouretdinov, I., and Gammerman, A · 2016
Cited alongside, same era.
Emnist: Extending mnist to handwritten letters
Cohen, G., Afshar, S., Tapson, J., and Van Schaik, A · 2017
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e γ e_{\gamma} -Resolvability
Liu, J., Cuff, P., and Verdú, S · 2017
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Communication-efficient learning of deep networks from decentralized data
McMahan, B., Moore, E., Ramage, D., Hampson, S., and y Arcas, B. A · 2017
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Automatic differentiation in pytorch
Paszke, A., Gross, S., Chintala, S., Chanan, G., Yang, E., DeVito, Z., Lin, Z., Desmaison, A., Antiga, L., and Lerer, A · 2017
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Kuutti, S., Bowden, R., Jin, Y., Barber, P., and Fallah, S · 2020
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Classification with valid and adaptive coverage
Romano, Y., Sesia, M., and Candes, E · 2020
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Application of conformal prediction interval estimations to market makers’ net positions
Wisniewski, W., Lindsay, D., and Lindsay, S · 2020
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Learn then test: Calibrating predictive algorithms to achieve risk control
Angelopoulos, A. N., Bates, S., Candès, E. J., Jordan, M. I., and Lei, L · 2021
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Distribution-free, risk-controlling prediction sets
Bates, S., Angelopoulos, A., Lei, L., Malik, J., and Jordan, M · 2021
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Optimized conformal classification using gradient descent approximation
Bellotti, A · 2021
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Conformalized survival analysis
Candès, E. J., Lei, L., and Ren, Z · 2021
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Conformal inference of counterfactuals and individual treatment effects
Lei, L. and Candès, E. J · 2021
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Distribution-free federated learning with conformal predictions
Lu, C. and Kalpathy-Cramer, J · 2021
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A field guide to federated optimization
Wang, J., Charles, Z., Xu, Z., Joshi, G., McMahan, H. B., Al-Shedivat, M., Andrew, G., Avestimehr, S., Daly, K., Data, D., et al · 2021
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Machine-learning-based disease diagnosis: A comprehensive review
Ahsan, M. M., Luna, S. A., and Siddique, Z · 2022
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Federated learning on non-iid data silos: An experimental study
Li, Q., Diao, Y., Chen, Q., and He, B · 2022
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Monotonic differentiable sorting networks
Petersen, F., Borgelt, C., Kuehne, H., and Deussen, O · 2022
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Learning optimal conformal classifiers
Stutz, D., Dvijotham, K. D., Cemgil, A. T., and Doucet, A · 2022
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One-shot federated conformal prediction
Humbert, P., Le Bars, B., Bellet, A., and Arlot, S · 2023
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Conformal prediction of option prices
Bastos, J. A · 2024
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A mutual information perspective on federated contrastive learning
Louizos, C., Reisser, M., and Korzhenkov, D · 2024
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