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2024 ICML ICML 2024

Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time

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

Sungyoon Kim, Mert Pilanci

Topics

Machine Learning > Optimization & Theory > Learning Theory Machine Learning > Optimization & Theory > Optimization Deep Learning > Architectures > Neural Networks

Keywords

convex relaxation polynomial time weight decay gradient method optimality gap relu
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