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Tengyu Ma, "Designing Explicit Regularizers for Deep Models"
Tengyu Ma

Sat Dec 14 09:00 AM -- 09:45 AM (PST) @
in Machine Learning with Guarantees »

I will discuss some recent results on designing explicit regularizers to improve the generalization performances of deep neural networks. We derive data-dependent generalization bounds for deep neural networks. We empirically regularize the bounds and obtain improved generalization performance (in terms of the standard accuracy or the robust accuracy). I will also touch on recent results on applying these techniques to imbalanced datasets.

Based on joint work with Colin Wei, Kaidi Cao, Adrien Gaidon, and Nikos Arechiga

https://arxiv.org/abs/1910.04284 https://arxiv.org/abs/1906.07413 https://arxiv.org/abs/1905.03684

Author Information

Tengyu Ma (Stanford University)

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