A policy optimization perspective unifies zeroth-order Hessian estimators as baseline selections and yields ZoVH, a suite of low-variance estimators for the Hessian, its regularized inverse, and bias-corrected products, with theoretical guarantees.
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Revisiting Zeroth-Order Hessian Approximation: A Single-Step Policy Optimization Lens
A policy optimization perspective unifies zeroth-order Hessian estimators as baseline selections and yields ZoVH, a suite of low-variance estimators for the Hessian, its regularized inverse, and bias-corrected products, with theoretical guarantees.