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Meent & Tomaszewski - Fusing Machine Learning and Mixed Integer Linear Programming
Why Should Data Scientists Use Mixed Integer Programming (MIP)
Global Inverse Kinematics via Mixed-Integer Convex Optimization
Karen Aardal - Machine-learning augmented branch-and-bound for mixed-integer linear optimization
Vinod Nair: Solving Mixed Integer Programs Using Neural Networks
ML/DO 10: Nonlinear and Mixed Integer MPC
Andrea Lodi - Machine Learning for Combinatorial Optimization
Merve Bodur - Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods
Ray for distributed mixed integer optimization at Dow
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Last Updated: September 26, 2026
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Summary
Abstract: In this talk, we discuss how a careful use of pydata.org Imagine leveraging AI to make critical decisions, only to find that your perfectly optimized solution causes more ... Paper link: groups.csail.mit.edu/robotics-center/public_papers/Dai17.pdf In this paper we present a novel formulation of the ... Part of CO co-at-work.zib.de/ References: • Y. Bengio, A. Lodi, A. Prouvost (2018) -
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