{"total":35,"rows":[{"id":"2305.17333","title":"Fine-Tuning Language Models with Just Forward Passes","created":"2023-05-27","cited_by_count":345,"area":null},{"id":"2402.11592","title":"Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark","created":"2024-02-18","cited_by_count":114,"area":null},{"id":"2310.02025","title":"DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training","created":"2023-10-03","cited_by_count":76,"area":null},{"id":"2402.15751","title":"Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning","created":"2024-02-24","cited_by_count":54,"area":null},{"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":"2102.10707","title":"A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization","created":"2021-02-21","cited_by_count":46,"area":null},{"id":"2310.09639","title":"DPZero: Private Fine-Tuning of Language Models without Backpropagation","created":"2023-10-14","cited_by_count":26,"area":null},{"id":"2311.14168","title":"Fast Policy Learning for Linear Quadratic Control with Entropy Regularization","created":"2023-11-23","cited_by_count":13,"area":null},{"id":"2207.10415","title":"Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning","created":"2022-07-21","cited_by_count":11,"area":null},{"id":"2410.09823","title":"Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models","created":"2024-10-13","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":"2102.05198","title":"Statistical Inference for Polyak-Ruppert Averaged Zeroth-order Stochastic Gradient Algorithm","created":"2021-02-10","cited_by_count":6,"area":null},{"id":"2107.06534","title":"Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization","created":"2021-07-14","cited_by_count":6,"area":null},{"id":"2111.08805","title":"Online Estimation and Optimization of Utility-Based Shortfall Risk","created":"2021-11-16","cited_by_count":5,"area":null},{"id":"2309.11006","title":"STARNet: Sensor Trustworthiness and Anomaly Recognition via Approximated Likelihood Regret for Robust Edge Autonomy","created":"2023-09-20","cited_by_count":5,"area":null},{"id":"2109.12213","title":"Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization","created":"2021-09-24","cited_by_count":4,"area":null},{"id":"2501.06736","title":"ZOQO: Zero-Order Quantized Optimization","created":"2025-01-12","cited_by_count":4,"area":null},{"id":"2210.05279","title":"Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity","created":"2022-10-11","cited_by_count":3,"area":null},{"id":"2603.04733","title":"FOZO: Forward-Only Zeroth-Order Prompt Optimization for Test-Time Adaptation","created":"2026-03-05","cited_by_count":3,"area":null},{"id":"2103.12954","title":"Convergence Analysis of Nonconvex Distributed Stochastic Zeroth-order Coordinate Method","created":"2021-03-24","cited_by_count":1,"area":null},{"id":"2104.11283","title":"A Dimension-Insensitive Algorithm for Stochastic Zeroth-Order Optimization","created":"2021-04-22","cited_by_count":1,"area":null},{"id":"2206.10073","title":"Finding Optimal Policy for Queueing Models: New Parameterization","created":"2022-06-21","cited_by_count":1,"area":null},{"id":"2409.00459","title":"Gradient-Free Method for Heavily Constrained Nonconvex Optimization","created":"2024-08-31","cited_by_count":1,"area":null},{"id":"2506.21833","title":"Memory Savings at What Cost? A Study of Alternatives to Backpropagation","created":"2025-06-27","cited_by_count":1,"area":null},{"id":"2105.03527","title":"Scalable Projection-Free Optimization","created":"2021-05-07","cited_by_count":0,"area":null},{"id":"2107.00472","title":"Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets","created":"2021-06-29","cited_by_count":0,"area":null},{"id":"2208.13933","title":"Using Taylor-Approximated Gradients to Improve the Frank-Wolfe Method for Empirical Risk Minimization","created":"2022-08-30","cited_by_count":0,"area":null},{"id":"2501.07201","title":"An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum Optimization","created":"2025-01-13","cited_by_count":0,"area":null},{"id":"2504.09409","title":"Mirror Descent Linearized Augmented Lagrangian Methods for Nonconvex Constrained Stochastic Zeroth-Order Optimization","created":"2025-04-13","cited_by_count":0,"area":null},{"id":"2511.02757","title":"ConMeZO: Adaptive Descent-Direction Sampling for Gradient-Free Finetuning of Large Language Models","created":"2025-11-04","cited_by_count":0,"area":null},{"id":"2601.20422","title":"Guiding the Recommender: Information-Aware Auto-Bidding for Content Promotion","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2603.07389","title":"Feed m Birds with One Scone: Accelerating Multi-task Gradient Balancing via Bi-level Optimization","created":"2026-03-08","cited_by_count":0,"area":null},{"id":"2604.25372","title":"From Cursed to Competitive: Closing the ZO-FO Gap via Input-to-State Stability","created":"2026-04-28","cited_by_count":0,"area":null},{"id":"2609.38561","title":"Parameter-Free Zeroth-Order Optimization with Ellipsoidal Sampling","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.02190","title":"Trust the Direction, Search the Step: Zero-and-First-Order Methods for LLM Fine-Tuning","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":null}