Chongqing Kang

Scalable and Adaptive Trust-Region Learning via Projection Convex Hull

Learning compact and reliable convex hulls from data is a fundamental yet challenging problem with broad applications in classification, constraint learning, and decision optimization. We propose Projection Convex Hull (PCH), a scalable framework for learning polyhedral trust regions in high-dimensi…