convergence rate

Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces NeurIPS 2024 The effect of Leaky ReLUs on the training and generalization of overparameterized networks AISTATS 2024 Tight Convergence Rate Bounds for Optimization Under Power Law Spectral Conditions JMLR 2024 Towards Sharper Risk Bounds for Minimax Problems IJCAI 2024 Unveiling the Cycloid Trajectory of EM Iterations in Mixed Linear Regression ICML 2024 Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML NeurIPS 2024 $O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games ICLR 2023 A Bregman Divergence View on the Difference-of-Convex Algorithm AISTATS 2023 A Case of Exponential Convergence Rates for SVM AISTATS 2023 Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations ICML 2023 Accelerated Single-Call Methods for Constrained Min-Max Optimization ICLR 2023 Achieving Linear Speedup in Non-IID Federated Bilevel Learning ICML 2023 A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NeurIPS 2023 A Fast Optimistic Method for Monotone Variational Inequalities ICML 2023 A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NeurIPS 2023 A Fully First-Order Method for Stochastic Bilevel Optimization ICML 2023 Aiming towards the minimizers: fast convergence of SGD for overparametrized problems NeurIPS 2023 An Adaptive Policy to Employ Sharpness-Aware Minimization ICLR 2023 An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition NeurIPS 2023 Anticipatory Fictitious Play IJCAI 2023 A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition JMLR 2023 A Pretty Fast Algorithm for Adaptive Private Mean Estimation COLT 2023 Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023 A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty JMLR 2023 A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization NeurIPS 2023