TILOS-HDSI Seminar: Machine learning for discrete optimization: Theoretical foundations

HDSI 123 and Virtual 3234 Matthews Ln, La Jolla

Ellen Vitercik, Stanford University Abstract: Many of the most important optimization problems in practice are massive in scale, mathematically complex, and involve numerous unknown parameters. Machine learning offers a powerful way to address these challenges by uncovering hidden structure across problem instances, but integrating predictions into algorithms raises fundamental questions: which architectures align with combinatorial […]