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5 Results
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Poster
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Wed 14:30 |
Adaptive Gradient Methods with Dynamic Bound of Learning Rate Liangchen Luo · Yuanhao Xiong · Yan Liu · Xu Sun |
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Poster
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Wed 14:30 |
Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience Vaishnavh Nagarajan · Zico Kolter |
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Poster
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Tue 9:00 |
Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach Wenda Zhou · Victor Veitch · Morgane Austern · Ryan P Adams · Peter Orbanz |
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Poster
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Wed 14:30 |
Predicting the Generalization Gap in Deep Networks with Margin Distributions YiDing Jiang · Dilip Krishnan · Hossein Mobahi · Samy Bengio |
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Poster
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Wed 14:30 |
Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds Cenk Baykal · Lucas Liebenwein · Igor Gilitschenski · Dan Feldman · Daniela Rus |