2025
Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
ICML 2025poster
Active learning methods aim to improve sample complexity in machine learning. In this work, we investigate an active learning scheme via a novel gradient-free cutting-plane training method for ReLU networks of arbitrary depth and develop a convergence theory. We demonstrate, for the first time, tha…