Learning Feature Nonlinearities with Non-Convex Regularized Binned Regression

20 May 2017 Samet Oymak Mehrdad Mahdavi Jiasi Chen

For various applications, the relations between the dependent and independent variables are highly nonlinear. Consequently, for large scale complex problems, neural networks and regression trees are commonly preferred over linear models such as Lasso... (read more)

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