accelerated method

Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties AISTATS 2025 Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity ICLR 2025 Faster Accelerated First-order Methods for Convex Optimization with Strongly Convex Function Constraints NeurIPS 2024 Linearization Algorithms for Fully Composite Optimization COLT 2023 Acceleration in Distributed Optimization under Similarity AISTATS 2022 Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities AAAI 2021 Highly smooth minimization of non-smooth problems COLT 2020 Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond COLT 2020 Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches AISTATS 2019 Katalyst: Boosting Convex Katayusha for Non-Convex Problems with a Large Condition Number ICML 2019 Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017 Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition ICML 2017 A Simple Practical Accelerated Method for Finite Sums NeurIPS 2016 Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization ICML 2015 An Accelerated Proximal Coordinate Gradient Method NeurIPS 2014