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NX i=1 σiφ(xi)⊤ F # . By Jensen’s inequality, Eσ,X

In each example, the excess risk bound follows from the complexity bound by a direct application of Theorem 3, so only the complexity bounds require proof · 2006

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Integrated Learning and Robust Optimization

math.OC · 2026-08-09 · conditional · novelty 7.0

A new framework, ILRO, trains cost predictors through a robust linear program, with a convex surrogate and consistency and convergence guarantees under stated conditions.

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  • Integrated Learning and Robust Optimization math.OC · 2026-08-09 · conditional · none · ref 12

    A new framework, ILRO, trains cost predictors through a robust linear program, with a convex surrogate and consistency and convergence guarantees under stated conditions.