strongly convex

Dueling Convex Optimization with General Preferences ICML 2025 Exploiting Curvature in Online Convex Optimization with Delayed Feedback ICML 2025 Incremental Gradient Descent with Small Epoch Counts is Surprisingly Slow on Ill-Conditioned Problems ICML 2025 Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles JMLR 2025 On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms ICML 2025 Optimal and Efficient Algorithms for Decentralized Online Convex Optimization JMLR 2025 Optimal Decentralized Composite Optimization for Strongly Convex Functions JMLR 2025 Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness ICML 2025 When and why randomised exploration works (in linear bandits) ALT 2025 Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization NeurIPS 2024 Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers ICML 2024 Efficient Continual Finite-Sum Minimization ICLR 2024 Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints NeurIPS 2024 Improved Stability and Generalization Guarantees of the Decentralized SGD Algorithm ICML 2024 Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy ICML 2024 Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search NeurIPS 2024 Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization ICML 2024 Shifted Interpolation for Differential Privacy ICML 2024 Small-loss Adaptive Regret for Online Convex Optimization ICML 2024 Stability and Generalization for Stochastic Recursive Momentum-based Algorithms for (Strongly-)Convex One to K-Level Stochastic Optimizations ICML 2024 Stochastic Newton Proximal Extragradient Method NeurIPS 2024 Stochastic Zeroth-Order Optimization under Strongly Convexity and Lipschitz Hessian: Minimax Sample Complexity NeurIPS 2024 Accelerating Hamiltonian Monte Carlo via Chebyshev Integration Time ICLR 2023 Improved Dynamic Regret for Online Frank-Wolfe COLT 2023 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023