A no-free-lunch theorem for multitask learning
Author:
Affiliation:
1. Computer Science Department, Purdue University
2. Department of Statistics, Columbia University
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
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5. Ben-David, S., Blitzer, J., Crammer, K., Kulesza, A., Pereira, F. and Vaughan, J. W. (2010a). A theory of learning from different domains. Mach. Learn. 79 151–175.
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1. Adaptive and robust multi-task learning;The Annals of Statistics;2023-10-01
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