How Machine Learning Improves Algorithms with Ellen Vitercik

Hard optimization problems often look impossible through worst-case analysis, but real-world problems can contain structure that helps algorithms work faster. Ellen Vitercik, Ph.D., of Stanford University explains how machine learning can improve algorithm design for NP-hard optimization problems while preserving the formal guarantees that make solvers useful. She discusses beyond worst-case…