{"total":15,"rows":[{"id":"2510.09827","title":"An Exploration of Non-Euclidean Gradient Descent: Muon and its Many Variants","created":"2025-10-10","cited_by_count":28,"area":null},{"id":"2305.07583","title":"MoMo: Momentum Models for Adaptive Learning Rates","created":"2023-05-12","cited_by_count":24,"area":null},{"id":"2406.04142","title":"Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance","created":"2024-06-06","cited_by_count":13,"area":null},{"id":"2307.06306","title":"Locally Adaptive Federated Learning","created":"2023-07-12","cited_by_count":7,"area":null},{"id":"2310.02093","title":"Stochastic Gradient Descent with Preconditioned Polyak Step-size","created":"2023-10-03","cited_by_count":7,"area":null},{"id":"2504.01898","title":"Analysis of an Idealized Stochastic Polyak Method and its Application to Black-Box Model Distillation","created":"2025-04-02","cited_by_count":5,"area":null},{"id":"2401.13971","title":"Stochastic Weakly Convex Optimization Beyond Lipschitz Continuity","created":"2024-01-25","cited_by_count":3,"area":null},{"id":"2310.12969","title":"Demystifying the Myths and Legends of Nonconvex Convergence of SGD","created":"2023-10-19","cited_by_count":2,"area":null},{"id":"2403.02347","title":"On the Convergence of Federated Learning Algorithms without Data Similarity","created":"2024-02-29","cited_by_count":2,"area":null},{"id":"2511.07767","title":"Taking the Road Less Scheduled with Adaptive Polyak Steps","created":"2025-11-11","cited_by_count":2,"area":null},{"id":"2512.02342","title":"Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without Small (Sub)Gradients","created":"2025-12-02","cited_by_count":2,"area":null},{"id":"2412.17082","title":"MARINA-P: Superior Performance in Non-smooth Federated Optimization with Adaptive Stepsizes","created":"2024-12-22","cited_by_count":1,"area":null},{"id":"2606.01827","title":"Adaptive Sharpness-Aware Minimization with a Polyak-type Step size: A Theory-Grounded Scheduler","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2305.13664","title":"Layer-wise Adaptive Step-Sizes for Stochastic First-Order Methods for Deep Learning","created":"2023-05-23","cited_by_count":0,"area":null},{"id":"2602.09842","title":"Step-Size Stability in Stochastic Optimization: A Theoretical Perspective","created":"2026-02-10","cited_by_count":0,"area":null}],"next_cursor":null}