New Study Links Information Theory to Generalization in Set-Input Optimization
A new arXiv paper develops information-theoretic generalization bounds for set-input optimization-valued objectives such as multicalibration, CVaR, and Cressie-Read DRO, which target subgroup reliability in machine learning.
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- 2026-11-10 05:00 · arXiv stat.ML
Information-Theoretic Generalization for Set-Input Optimization-Valued Objectives