{"total":21,"rows":[{"id":"2410.07698","title":"Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures","created":"2024-10-10","cited_by_count":50,"area":null},{"id":"2602.17155","title":"Powering Up Zeroth-Order Training via Subspace Gradient Orthogonalization","created":"2026-02-19","cited_by_count":12,"area":null},{"id":"2510.19975","title":"Revisiting Zeroth-Order Optimization: Minimum-Variance Two-Point Estimators and Directionally Aligned Perturbations","created":"2025-10-22","cited_by_count":11,"area":null},{"id":"2506.04430","title":"Leveraging Coordinate Momentum in SignSGD and Muon: Memory-Optimized Zero-Order","created":"2025-06-04","cited_by_count":9,"area":null},{"id":"2206.05124","title":"Stochastic Zeroth order Descent with Structured Directions","created":"2022-06-10","cited_by_count":8,"area":null},{"id":"2502.11513","title":"MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models","created":"2025-02-17","cited_by_count":4,"area":null},{"id":"2509.05213","title":"An Efficient Subspace Algorithm for Federated Learning on Heterogeneous Data","created":"2025-09-05","cited_by_count":4,"area":null},{"id":"2403.15603","title":"Forward Learning for Gradient-based Black-box Saliency Map Generation","created":"2024-03-22","cited_by_count":2,"area":null},{"id":"2507.06125","title":"Subspace-based Approximate Hessian Method for Zeroth-Order Optimization","created":"2025-07-08","cited_by_count":2,"area":null},{"id":"2510.18228","title":"Towards Fast LLM Fine-tuning through Zeroth-Order Optimization with Projected Gradient-Aligned Perturbations","created":"2025-10-21","cited_by_count":2,"area":null},{"id":"2510.19953","title":"On the Optimal Construction of Unbiased Gradient Estimators for Zeroth-Order Optimization","created":"2025-10-22","cited_by_count":2,"area":null},{"id":"2210.16997","title":"Convergence Rates of Stochastic Zeroth-order Gradient Descent for \\L ojasiewicz Functions","created":"2022-10-31","cited_by_count":1,"area":null},{"id":"2405.14519","title":"A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection","created":"2024-05-23","cited_by_count":1,"area":null},{"id":"2408.12209","title":"Zeroth-Order Stochastic Mirror Descent Algorithms for Minimax Excess Risk Optimization","created":"2024-08-22","cited_by_count":1,"area":null},{"id":"2603.20632","title":"Optimal low-rank stochastic gradient estimation for LLM training","created":"2026-03-21","cited_by_count":1,"area":null},{"id":"2605.15622","title":"Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered","created":"2026-05-15","cited_by_count":1,"area":null},{"id":"2505.00162","title":"Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search","created":"2025-04-30","cited_by_count":0,"area":null},{"id":"2505.19720","title":"A Structured Tour of Optimization with Finite Differences","created":"2025-05-26","cited_by_count":0,"area":null},{"id":"2602.00075","title":"Dimensional Peeking for Low-Variance Gradients in Zeroth-Order Discrete Optimization via Simulation","created":"2026-01-21","cited_by_count":0,"area":null},{"id":"2603.24002","title":"Stochastic Dimension Zeroth-Order Estimator: Stable and Memory-Efficient Training of PINNs","created":"2026-03-25","cited_by_count":0,"area":null},{"id":"2605.00740","title":"Randomized Subspace Nesterov Accelerated Gradient","created":"2026-05-01","cited_by_count":0,"area":null}],"next_cursor":null}