{"total":15,"rows":[{"id":"2506.23803","title":"SGD with Adaptive Preconditioning: Unified Analysis and Momentum Acceleration","created":"2025-06-30","cited_by_count":12,"area":null},{"id":"2503.00703","title":"Towards hyperparameter-free optimization with differential privacy","created":"2025-03-02","cited_by_count":7,"area":null},{"id":"2507.09823","title":"Nesterov Finds GRAAL: Optimal and Adaptive Gradient Method for Convex Optimization","created":"2025-07-13","cited_by_count":5,"area":null},{"id":"2511.02276","title":"Gradient-Variation Online Adaptivity for Accelerated Optimization with H\\\"older Smoothness","created":"2025-11-04","cited_by_count":5,"area":null},{"id":"2510.04685","title":"Parameter-free Algorithms for the Stochastically Extended Adversarial Model","created":"2025-10-06","cited_by_count":3,"area":null},{"id":"2412.19444","title":"Towards Simple and Provable Parameter-Free Adaptive Gradient Methods","created":"2024-12-27","cited_by_count":2,"area":null},{"id":"2505.21651","title":"AutoSGD: Automatic Learning Rate Selection for Stochastic Gradient Descent","created":"2025-05-27","cited_by_count":2,"area":null},{"id":"2408.07503","title":"Faster Stochastic Optimization with Arbitrary Delays via Asynchronous Mini-Batching","created":"2024-08-14","cited_by_count":1,"area":null},{"id":"2506.11336","title":"The Sample Complexity of Parameter-Free Stochastic Convex Optimization","created":"2025-06-12","cited_by_count":1,"area":null},{"id":"2511.06597","title":"Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality","created":"2025-11-10","cited_by_count":1,"area":null},{"id":"2601.20076","title":"Randomized Feasibility Methods for Constrained Optimization with Adaptive Step Sizes","created":"2026-01-27","cited_by_count":1,"area":null},{"id":"2510.09923","title":"AutoGD: Automatic Learning Rate Selection for Gradient Descent","created":"2025-10-10","cited_by_count":0,"area":null},{"id":"2604.06525","title":"Stochastic Auto-conditioned Fast Gradient Methods with Optimal Rates","created":"2026-04-07","cited_by_count":0,"area":null},{"id":"2606.14970","title":"Zero-order Parameter-free Optimization for LMO-based Methods: Novel Approach for Efficient Fine-tuning","created":"2026-06-12","cited_by_count":0,"area":null},{"id":"2606.22669","title":"Clipping the Price of Adaptivity at the Tail","created":"2026-06-21","cited_by_count":0,"area":null}],"next_cursor":null}