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most citedGeneralizing Off-Policy Learning under Sample Selection Bias

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cs.LG2024

A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions

Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel

We propose an algorithm for optimizing the parameters of single hidden layer neural networks. Specifically, we derive a blockwise difference-of-convex (DC) functions representation…