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We consider the problem of conformal prediction under covariate shift.
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J. Lei, J. Robins, and L. Wasserman · 2013
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Conditional validity of inductive conformal predictors
V. Vovk · 2013
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Least Ambiguous Set-Valued Classifiers With Bounded Error Levels
M. Sadinle, J. Lei, and L. Wasserman · 2017
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Practical adversarial multivalid conformal prediction
O. Bastani, V. Gupta, C. Jung, G. Noarov, R. Ramalingam, and A. Roth · 2022
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Learning optimal conformal classifiers
D. Stutz, K. D. Dvijotham, A. T. Cemgil, and A. Doucet · 2022
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Algorithmic Learning in a Random World
V. Vovk, A. Gammerman, and G. Shafer · 2022
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Batch multivalid conformal prediction
C. Jung, G. Noarov, R. Ramalingam, and A. Roth · 2023
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Conformal prediction with large language models for multi-choice question answering
B. Kumar, C. Lu, G. Gupta, A. Palepu, D. Bellamy, R. Raskar, and A. Beam · 2023
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Prediction sets adaptive to unknown covariate shift
H. Qiu, E. Dobriban, and E. Tchetgen Tchetgen · 2023
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J. Lei, M. G’Sell, A. Rinaldo, R. Tibshirani, and L. Wasserman · 2018
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Conformalized quantile regression
Y. Romano, E. Patterson, and E. Candes · 2019
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Conformal prediction under covariate shift
R. J. Tibshirani, R. Foygel Barber, E. J. Candès, and A. Ramdas · 2019
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Measuring robustness to natural distribution shifts in image classification
R. Taori, A. Dave, V. Shankar, N. Carlini, B. Recht, and L. Schmidt · 2020
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Bdd100k: A diverse driving dataset for heterogeneous multitask learning
F. Yu, H. Chen, X. Wang, W. Xian, Y. Chen, F. Liu, V. Madhavan, and T. Darrell · 2020
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A gentle introduction to conformal prediction and distribution-free uncertainty quantification
A. N. Angelopoulos and S. Bates · 2021
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Rxrx1: A dataset for evaluating experimental batch correction methods
M. Sypetkowski, M. Rezanejad, S. Saberian, O. Kraus, J. Urbanik, J. Taylor, B. Mabey, M. Victors, J. Yosinski, A. R. Sereshkeh, et al · 2023
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Not all distributional shifts are equal: Fine-grained robust conformal inference
J. Ai and Z. Ren · 2024
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Group-weighted conformal prediction
A. Bhattacharyya and R. F. Barber · 2024
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Robust validation: Confident predictions even when distributions shift
M. Cauchois, S. Gupta, A. Ali, and J. C. Duchi · 2024
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Distributionally robust risk evaluation with an isotonic constraint
Y. Gui, R. F. Barber, and C. Ma · 2024
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Adapting conformal prediction to distribution shifts without labels
K. Kasa, Z. Zhang, H. Yang, and G. W. Taylor · 2024
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Conformal risk minimization with variance reduction
S. Noorani, O. Romero, N. D. Fabbro, H. Hassani, and G. J. Pappas · 2024
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Distribution-free prediction intervals under covariate shift, with an application to causal inference
J. Qin, Y. Liu, M. Li, and C.-Y. Huang · 2024
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PAC prediction sets under label shift
W. Si, S. Park, I. Lee, E. Dobriban, and O. Bastani · 2024
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Doubly robust calibration of prediction sets under covariate shift
Y. Yang, A. K. Kuchibhotla, and E. Tchetgen Tchetgen · 2024
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Conformal prediction with conditional guarantees
I. Gibbs, J. J. Cherian, and E. J. Candès · 2025
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