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cs.LG2026
StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling
Jiajun Li, Yu Ding, Shisi Guan +2
Optimization modeling is inherently hierarchical, requiring a precise sequence of symbolic commitments. Traditional learning-based automated optimization modeling methods improve m…
cs.LG2025
Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear programming
Jiajun Li, Yixuan Li, Ran Hou +8
Model reduction, which aims to learn a simpler model of the original mixed integer linear programming (MILP), can solve large-scale MILP problems much faster. Most existing model r…
cs.LG2024
Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction
Yixuan Li, Can Chen, Jiajun Li +6
By exploiting the correlation between the structure and the solution of Mixed-Integer Linear Programming (MILP), Machine Learning (ML) has become a promising method for solving lar…