Author

Jian Qian

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#machine learning Preprint Sep 2026

Adaptively Incorporating Directional Hints into Zeroth-Order Optimization

Control-Variate Zeroth-Order Descent (CV-ZOD) is introduced, a new framework that refines the classical zeroth-order gradient estimator with a control variate that can be set based on the directional hints to leverage these hints adaptively while maintaining robustness to their quality.

Alexander Ryabchenko, Jian Qian, Wenlong Mou · 0 citations