Optimizing Objective Functions from Trained ReLU Neural Networks via Sampling

Georgia Perakis, Asterios Tsiourvas

This paper introduces scalable, sampling-based algorithms that optimize trained neural networks with ReLU activations. We first propose an iterative algorithm that takes advantage…