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PDF] Uniform convergence may be unable to explain generalization in deep learning | Semantic Scholar
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PDF] Novel Concentration of Measure Bounds with Applications to Fairness in Machine Learning | Semantic Scholar
![Vaishnavh Nagarajan on Twitter: "Excited to share our new blog post **w/ code** (downloadable as Jupyter notebook) https://t.co/SzblhVCzaL highlighting why current approaches to deriving generalization bounds in deep learning may be severely Vaishnavh Nagarajan on Twitter: "Excited to share our new blog post **w/ code** (downloadable as Jupyter notebook) https://t.co/SzblhVCzaL highlighting why current approaches to deriving generalization bounds in deep learning may be severely](https://pbs.twimg.com/media/D_CekVJWsAAoD0e.jpg:large)
Vaishnavh Nagarajan on Twitter: "Excited to share our new blog post **w/ code** (downloadable as Jupyter notebook) https://t.co/SzblhVCzaL highlighting why current approaches to deriving generalization bounds in deep learning may be severely
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Uniform convergence may be unable to explain generalization in deep learning (NeurIPS19 oral paper) - YouTube
![PDF] Uniform convergence may be unable to explain generalization in deep learning | Semantic Scholar PDF] Uniform convergence may be unable to explain generalization in deep learning | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/2b627185499791048681e8d24190c31dea928f16/5-Figure2-1.png)