Generalization bound and learning methods for data-driven projections in linear programmingDec 1, 2024·Shinsaku Sakaue,Taihei Oki· 0 min read PDF CodeTypeConference paperPublicationAdvances in Neural Information Processing Systems (NeurIPS)Last updated on Dec 1, 2024 ← Revisiting online learning approach to inverse linear optimization: A Fenchel–Young loss perspective and gap-dependent regret analysis May 1, 2025No-regret $\mathrm{M}^\natural$-concave function maximization: Stochastic bandit algorithms and NP-hardness of adversarial full-information setting Dec 1, 2024 →