strong convexity

Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity AAAI 2025 On the Almost Sure Convergence of the Stochastic Three Points Algorithm ICLR 2025 Universal Online Convex Optimization Meets Second-order Bounds JMLR 2025 Derivatives of Stochastic Gradient Descent in parametric optimization NeurIPS 2024 Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization NeurIPS 2024 Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints NeurIPS 2024 Fast two-time-scale stochastic gradient method with applications in reinforcement learning COLT 2024 Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing ICML 2024 Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions JMLR 2024 The Power of Extrapolation in Federated Learning NeurIPS 2024 Universal Online Convex Optimization with $1$ Projection per Round NeurIPS 2024 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023 Accelerated Primal-Dual Gradient Method for Smooth and Convex-Concave Saddle-Point Problems with Bilinear Coupling NeurIPS 2022 A Simple yet Universal Strategy for Online Convex Optimization ICML 2022 Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows AAAI 2022 Convergence of Langevin Monte Carlo in Chi-Squared and Rényi Divergence AISTATS 2022 Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution NeurIPS 2022 Faster Rates of Private Stochastic Convex Optimization ALT 2022 Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization AISTATS 2022 Projection-free Distributed Online Learning with Sublinear Communication Complexity JMLR 2022 Quasi-Newton Methods for Saddle Point Problems NeurIPS 2022 Sharper Rates for Separable Minimax and Finite Sum Optimization via Primal-Dual Extragradient Methods COLT 2022 Stochastic subgradient for composite convex optimization with functional constraints JMLR 2022 A Study of Condition Numbers for First-Order Optimization AISTATS 2021 Distributed Zero-Order Optimization under Adversarial Noise NeurIPS 2021