cs.LG, math.OC, stat.ML

Tight Generalization Bounds for Noiseless Inverse Optimization

arXiv:2605.08866v1 Announce Type: new
Abstract: Inverse optimization (IO) seeks to infer the parameters of a decision-maker’s objective from observed context–action data. We study noiseless IO, where demonstrations are generated by a ground-truth obj…