C-MICL embeds conformal prediction sets into mixed-integer constraint learning, claiming a 1-alpha probability that optimized solutions are feasible for the true unknown constraint.
A surrogate-based framework for feasibility-driven optimization of expensive simulations.AIChE Journal, 70(5):e18364, 2024
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Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees
C-MICL embeds conformal prediction sets into mixed-integer constraint learning, claiming a 1-alpha probability that optimized solutions are feasible for the true unknown constraint.