Characterizes training error and test-training relation for an IAMP algorithm in multi-index ERM under high-d asymptotics, expecting optimality among polynomial-time methods based on prior related models.
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Replica Symmetry Breaking and Algorithmic Thresholds in Empirical Risk Minimization under Multi-Index Model
Characterizes training error and test-training relation for an IAMP algorithm in multi-index ERM under high-d asymptotics, expecting optimality among polynomial-time methods based on prior related models.