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Under label shift, the label distribution p(y) might change but the class-conditional distributions p(x|y) do not.
Estimation of the mean of a multivariate normal distribution
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Gradient-Based Learning Applied to Document Recognition
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Improving Predictive Inference Under Covariate Shift by Weighting the Log-Likelihood Function
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Empirical Processes in M-estimation , volume 6
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Adjusting the Outputs of a Classifier to New a Priori Probabilities: A Simple Procedure
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Learning and Evaluating Classifiers Under Sample Selection Bias
B. Zadrozny · 2004
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Covariate Shift by Kernel Mean Matching
A. Gretton, A. J. Smola, J. Huang, M. Schmittfull, K. M. Borgwardt, and B. Schölkopf · 2009
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Learning Multiple Layers of Features from Tiny Images
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When Training and Test Sets Are Different: Characterizing Learning Transfer
A. Storkey · 2009
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Impossibility Theorems for Domain Adaptation
S. Ben-David, T. Lu, T. Luu, and D. Pál · 2010
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Semi-supervised novelty detection
G. Blanchard, G. Lee, and C. Scott · 2010
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Learning Bounds for Importance Weighting
C. Cortes, Y. Mansour, and M. Mohri · 2010
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On Causal and Anticausal Learning
B. Schölkopf, D. Janzing, J. Peters, E. Sgouritsa, K. Zhang, and J. Mooij · 2012
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Domain Adaptation Under Target and Conditional Shift
K. Zhang, B. Schölkopf, K. Muandet, and Z. Wang · 2013
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Domain adaptation and sample bias correction theory and algorithm for regression
C. Cortes and M. Mohri · 2014
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Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Mixture proportion estimation via kernel embeddings of distributions
H. Ramaswamy, C. Scott, and A. Tewari · 2016
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On calibration of modern neural networks
C. Guo, G. Pleiss, Y. Sun, and K. Q. Weinberger · 2017
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Detecting and Correcting for Label Shift with Black Box Predictors
Z. C. Lipton, Y.-X. Wang, and A. Smola · 2018
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Adapting to label shift with bias-corrected calibration
A. Alexandari, A. Kundaje, and A. Shrikumar · 2019
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Regularized learning for domain adaptation under label shifts
K. Azizzadenesheli, A. Liu, F. Yang, and A. Anandkumar · 2019
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Semi-supervised learning of class balance under class-prior change by distribution matching
M. C. Du Plessis and M. Sugiyama · 2014
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Calibrated structured prediction
V. Kuleshov and P. S. Liang · 2015
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An introduction to matrix concentration inequalities
J. A. Tropp et al · 2015
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What is the effect of importance weighting in deep learning?
J. Byrd and Z. C. Lipton · 2019
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Verified uncertainty calibration
A. Kumar, P. S. Liang, and T. Ma · 2019
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Evaluating model calibration in classification
J. Vaicenavicius, D. Widmann, C. Andersson, F. Lindsten, J. Roll, and T. B. Schön · 2019
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