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.
Machine learning-based surrogate modeling for data- driven optimization: a comparison of subset selection for regression techniques.Optimization Letters, 14(4):989–1010, 2020
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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.