:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shu, Yao, Zhu, Zilin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.10673
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Multi-Query Paradox in Zeroth-Order Optimization
by: Lin, Wei, et al.
Published: (2025)

Refining Adaptive Zeroth-Order Optimization at Ease
by: Shu, Yao, et al.
Published: (2025)

Zeroth-Order Optimization is Secretly Single-Step Policy Optimization
by: Qiu, Junbin, et al.
Published: (2025)

Revisiting Zeroth-Order Hessian Approximation: A Single-Step Policy Optimization Lens
by: Qiu, Junbin, et al.
Published: (2026)

Alternating Diffusion for Proximal Sampling with Zeroth Order Queries
by: Takagi, Hirohane, et al.
Published: (2026)

On Adaptivity in Zeroth-Order Optimization
by: Dbouk, Hassan, et al.
Published: (2026)

Why Zeroth-Order Adaptation May Forget Less: A Randomized Shaping Theory
by: Shu, Yao, et al.
Published: (2026)

AR1-ZO: Topology-Aware Rank-1 Zeroth-Order Queries for High-Rank LoRA Fine-Tuning
by: Chen, Ziye, et al.
Published: (2026)

Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
by: Qiu, Ruizhong, et al.
Published: (2024)

Towards Fast LLM Fine-tuning through Zeroth-Order Optimization with Projected Gradient-Aligned Perturbations
by: Mi, Zhendong, et al.
Published: (2025)

Private Zeroth-Order Optimization with Public Data
by: Gong, Xuchen, et al.
Published: (2025)

Zeroth-Order Optimization at the Edge of Stability
by: Song, Minhak, et al.
Published: (2026)

Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations
by: Ma, Shaocong, et al.
Published: (2025)

QuZO: Quantized Zeroth-Order Fine-Tuning for Large Language Models
by: Zhou, Jiajun, et al.
Published: (2025)

Zeroth-Order Optimization Finds Flat Minima
by: Zhang, Liang, et al.
Published: (2025)

Certified Multi-Fidelity Zeroth-Order Optimization
by: de Montbrun, Étienne, et al.
Published: (2023)

Private Zeroth-Order Nonsmooth Nonconvex Optimization
by: Zhang, Qinzi, et al.
Published: (2024)

Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered
by: Liu, Sijia, et al.
Published: (2026)

Efficient Federated RLHF via Zeroth-Order Policy Optimization
by: Wang, Deyi, et al.
Published: (2026)

Learning Dynamics of Zeroth-Order Optimization: A Kernel Perspective
by: Li, Zhe, et al.
Published: (2026)

Learning a Zeroth-Order Optimizer for Fine-Tuning LLMs
by: Zhang, Kairun, et al.
Published: (2025)

Obtaining Lower Query Complexities through Lightweight Zeroth-Order Proximal Gradient Algorithms
by: Gu, Bin, et al.
Published: (2024)

Model-Agnostic Zeroth-Order Policy Optimization for Meta-Learning of Ergodic Linear Quadratic Regulators
by: Pan, Yunian, et al.
Published: (2024)

Elucidating Subspace Perturbation in Zeroth-Order Optimization: Theory and Practice at Scale
by: Park, Sihwan, et al.
Published: (2025)

Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States
by: Chien, Eli, et al.
Published: (2025)

Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-Tuning
by: Seung, Hyunseok, et al.
Published: (2025)

Zeroth-Order Methods for Stochastic Nonconvex Nonsmooth Composite Optimization
by: Chen, Ziyi, et al.
Published: (2025)

Subspace-based Approximate Hessian Method for Zeroth-Order Optimization
by: Kim, Dongyoon, et al.
Published: (2025)

On the Convergence of Zeroth-Order Federated Tuning for Large Language Models
by: Ling, Zhenqing, et al.
Published: (2024)

Fine-tuning Quantized Neural Networks with Zeroth-order Optimization
by: Shang, Sifeng, et al.
Published: (2025)

Accelerating Zeroth-Order Spectral Optimization with Partial Orthogonalization from Power Iteration
by: Chen, Jiahe, et al.
Published: (2026)

Universally Empowering Zeroth-Order Optimization via Adaptive Layer-wise Sampling
by: Wang, Fei, et al.
Published: (2026)

A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection
by: Rando, Marco, et al.
Published: (2024)

DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training
by: Chen, Aochuan, et al.
Published: (2023)

Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer
by: Zhao, Yanjun, et al.
Published: (2024)

On-Device Fine-Tuning via Backprop-Free Zeroth-Order Optimization
by: Katti, Prabodh, et al.
Published: (2025)

On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization
by: Ma, Shaocong, et al.
Published: (2025)

AdaMeZO: Adam-style Zeroth-Order Optimizer for LLM Fine-tuning Without Maintaining the Moments
by: Cai, Zhijie, et al.
Published: (2026)

Model Evolution Under Zeroth-Order Optimization: A Neural Tangent Kernel Perspective
by: Zhang, Chen, et al.
Published: (2026)

Ancestral Reinforcement Learning: Unifying Zeroth-Order Optimization and Genetic Algorithms for Reinforcement Learning
by: Nakashima, So, et al.
Published: (2024)