{"total":15,"rows":[{"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":"2109.08630","title":"A Fairness Analysis on Private Aggregation of Teacher Ensembles","created":"2021-09-17","cited_by_count":11,"area":null},{"id":"2403.02648","title":"Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad","created":"2024-03-05","cited_by_count":8,"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":"2306.16484","title":"Towards a Better Theoretical Understanding of Independent Subnetwork Training","created":"2023-06-28","cited_by_count":6,"area":null},{"id":"2305.11807","title":"On the Fairness Impacts of Private Ensembles Models","created":"2023-05-19","cited_by_count":4,"area":null},{"id":"2210.09626","title":"FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences","created":"2022-10-18","cited_by_count":2,"area":null},{"id":"2506.12648","title":"Glocal Smoothness: Line search and adaptive step sizes can help in theory too!","created":"2025-06-14","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":"2605.11838","title":"Gradient Clipping Beyond Vector Norms: A Spectral Approach for Matrix-Valued Parameters","created":"2026-05-12","cited_by_count":2,"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":"2109.15292","title":"Accelerating Perturbed Stochastic Iterates in Asynchronous Lock-Free Optimization","created":"2021-09-30","cited_by_count":0,"area":null},{"id":"2205.02273","title":"An Adaptive Incremental Gradient Method With Support for Non-Euclidean Norms","created":"2022-04-28","cited_by_count":0,"area":null},{"id":"2608.12009","title":"Adaptive Bregman Proximal Stochastic Gradient with a Stabilized Barzilai--Borwein Step Size","created":"2026-08-12","cited_by_count":0,"area":null},{"id":"2609.30276","title":"Why Clipping Matters in AdaGrad? Toward a High-Probability Theory under Generalized Smoothness","created":"2026-08-12","cited_by_count":0,"area":null}],"next_cursor":null}