2026
Data-driven Mixed Integer Optimization through Probabilistic Multi-variable Branching
ICML 2026poster
This paper introduces Probabilistic Multi-Variable Branching (PMVB), a simple and effective technique for accelerating mixed-integer optimization using data-driven machine learning models. At its core, PMVB employs a multi-variable branching procedure that partitions the feasible region via data-dri…