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How rotation invariant algorithms are fooled by noise on sparse targets

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.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Mathematics & Optimization

Authors

Manfred K. Warmuth, Wojciech Kot\polishlowski, Matt Jones, Ehsan Amid

Topics

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

Keywords

gradient descent sparse linear problem adagrad bayes optimal algorithm noisy feature learning rotation invariant algorithms
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