most citedZeroth-order Low-rank Hessian Estimation via Matrix Recovery

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

math.OC2024

Zeroth-order Stochastic Cubic Newton Method Revisited

Yu Liu, Weibin Peng, Tianyu Wang +1

This paper studies stochastic minimization of a finite-sum loss . In many real-world scenarios, the Hessian matrix of s…

math.OC2024★ 1 cited

Zeroth-order Low-rank Hessian Estimation via Matrix Recovery

Tianyu Wang, Zicheng Wang, Jiajia Yu

A zeroth-order Hessian estimator aims to recover the Hessian matrix of an objective function at any given point, using minimal finite-difference computations. This paper studies ze…

math.OC2023

The Nesterov-Spokoiny Acceleration Achieves Strict Convergence

Weibin Peng, Yu Liu, Tianyu Wang

This paper studies the Nesterov-Spokoiny Acceleration (NSA), a variant of the accelerated gradient method by Nesterov and Spokoiny. For smooth convex optimization, NSA achieves a s…