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2024 ICML ICML 2024

Guarantees for Nonlinear Representation Learning: Non-identical Covariates, Dependent Data, Fewer Samples

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

Thomas TCK Zhang, Bruce D Lee, Ingvar Ziemann, George J. Pappas, Nikolai Matni

Topics

Machine Learning > Optimization & Theory > Learning Theory Machine Learning > Application Areas > Domain Adaptation Deep Learning > Learning Types > Representation Learning

Keywords

representation learning sample complexity excess risk dependent data complexity non-identical covariates
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