Second Workshop on MLxOR: Mathematical Foundations and Operational Integration of Machine Learning for Uncertainty-Aware Decision-Making

MLxOR connects data-driven learning with operations research. Researchers discuss how optimization and stochastic modelling can support interpretable decisions with quantified risk, while learning methods help address complex applications that exceed the tractability of traditional models. Session: 08:00–17:00 (America/New_York). A paid NeurIPS virtual pass includes workshop livestreams; on-site access follows the host-location registration rules.