{"total":14,"rows":[{"id":"2210.01400","title":"Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies","created":"2022-10-04","cited_by_count":46,"area":null},{"id":"2303.15740","title":"Concentration of Contractive Stochastic Approximation: Additive and Multiplicative Noise","created":"2023-03-28","cited_by_count":26,"area":null},{"id":"2306.04923","title":"Unconstrained Online Learning with Unbounded Losses","created":"2023-06-08","cited_by_count":25,"area":null},{"id":"2209.15382","title":"Linear Convergence for Natural Policy Gradient with Log-linear Policy Parametrization","created":"2022-09-30","cited_by_count":17,"area":null},{"id":"2401.15719","title":"Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning","created":"2024-01-28","cited_by_count":17,"area":null},{"id":"2504.09951","title":"Towards Weaker Variance Assumptions for Stochastic Optimization","created":"2025-04-14","cited_by_count":17,"area":null},{"id":"2303.04386","title":"Policy Mirror Descent Inherently Explores Action Space","created":"2023-03-08","cited_by_count":13,"area":null},{"id":"2408.09074","title":"Gradient-Variation Online Learning under Generalized Smoothness","created":"2024-08-17","cited_by_count":11,"area":null},{"id":"2502.13283","title":"Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression","created":"2025-02-18","cited_by_count":9,"area":null},{"id":"2303.01135","title":"Tight Risk Bounds for Gradient Descent on Separable Data","created":"2023-03-02","cited_by_count":7,"area":null},{"id":"2303.09532","title":"Variational Principles for Mirror Descent and Mirror Langevin Dynamics","created":"2023-03-16","cited_by_count":5,"area":null},{"id":"2604.16620","title":"Lower Bounds and Proximally Anchored SGD for Non-Convex Minimization Under Unbounded Variance","created":"2026-04-17","cited_by_count":5,"area":null},{"id":"2505.22359","title":"Multiclass Loss Geometry Matters for Generalization of Gradient Descent in Separable Classification","created":"2025-05-28","cited_by_count":2,"area":null},{"id":"2603.18551","title":"Learning Decision-Sufficient Representations for Linear Optimization","created":"2026-03-19","cited_by_count":1,"area":null}],"next_cursor":null}