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Achieve up to 74% improvement in stock ranking accuracy by disentangling temporal trends and purifying structural relationships, sidestepping the crosstalk problem that plagues existing graph-based methods.
Zeroth-order optimization stability depends on the *entire* Hessian spectrum, not just the largest eigenvalue like first-order methods, offering a new perspective on implicit regularization.
