Shai Shalev-Shwartz
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| title | conference | date |
|---|---|---|
| Is Deeper Better Only When Shallow Is Good? | Emerging Challenges in Deep Learning (Simons Institute workshop, 2019) | 2019-08-05 |
Claim: fractal-shaped classification problems can be represented exactly by a ReLU net of depth 2n+1 and width about 5d·r, while any network much shallower… | ||
| Provably Efficient Algorithms for Training Deep Networks | Parallel and Distributed Algorithms for Inference and Optimization (Simons Institute, Oct. 21–24, 2013) | 2013-10-21 |
Shows that extreme overspecification removes no local non-global minima: if hidden neurons ≥ number of examples and mild rank conditions hold, every local… | ||
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