Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees

NeurIPSSpotlight2025

Authors
Daniel Ovalle, Lorenz T. Biegler, Ignacio E Grossmann, Carl D Laird, Mateo Dulce Rubio
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

We propose Conformal Mixed-Integer Constraint Learning (C-MICL), a novel framework that provides probabilistic feasibility guarantees for data-driven constraints in optimization problems…

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Topics

optimization

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