Dimension Independent Generalization Error with Regularized Online Optimization

25 Mar 2020Xi ChenQiang LiuXin T. Tong

One classical canon of statistics is that large models are prone to overfitting and model selection procedures are necessary for high-dimensional data. However, many overparameterized models such as neural networks, which are often trained with simple online methods and regularization, perform very well in practice... (read more)

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