$H$-Consistency Guarantees for Regression

Anqi Mao; Mehryar Mohri; Yutao Zhong

2024 ICML ICML 2024

H-Consistency Guarantees for Regression

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

Anqi Mao, Mehryar Mohri, Yutao Zhong

Topics

Machine Learning > Core Methods > Regression Machine Learning > Optimization & Theory > Learning Theory

Keywords

regression surrogate loss huber loss h-consistency squared ǫ-insensitive loss ∞l_p losses

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