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2024 ICML ICML 2024

Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Benjamin Eyre, Elliot Creager, David Madras, Vardan Papyan, Richard Zemel

Topics

Machine Learning > Core Methods > Regression Machine Learning > Application Areas > Domain Adaptation Deep Learning > Learning Types > Transfer Learning

Keywords

covariate shift eigen-spectrum decomposition out-of-distribution performance ols regression pre-trained neural regression model spectral adaptation
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