arXiv stat.ML
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Optimizing Regret
arXiv:2607.18866v1 Announce Type: cross Abstract: Building on the identity that expected regret equals the covariance between costs and decisions, this paper develops the complete derivative theory of the covariance regret functional. We derive the G^ateaux derivative, showing that the universal steepest-descent direc