accelerated gradient

Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025 SIFAR: A Simple Faster Accelerated Variance-Reduced Gradient Method IJCAI 2025 Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024 Accelerated Regularized Learning in Finite N-Person Games NeurIPS 2024 An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization NeurIPS 2024 High Probability and Risk-Averse Guarantees for a Stochastic Accelerated Primal-Dual Method JMLR 2024 Nesterov acceleration despite very noisy gradients NeurIPS 2024 Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks NeurIPS 2024 Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations ICML 2023 Accelerated Primal-Dual Methods for Convex-Strongly-Concave Saddle Point Problems ICML 2023 Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization NeurIPS 2023 Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties COLT 2023 Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance NeurIPS 2023 DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization ICML 2023 Discrete Variational Calculus for Accelerated Optimization JMLR 2023 Accelerated Gradient Methods for Geodesically Convex Optimization: Tractable Algorithms and Convergence Analysis ICML 2022 Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction ICML 2022 Extra-Newton: A First Approach to Noise-Adaptive Accelerated Second-Order Methods NeurIPS 2022 Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method NeurIPS 2022 Optimal and Adaptive Monteiro-Svaiter Acceleration NeurIPS 2022 Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums AISTATS 2022 RECAPP: Crafting a More Efficient Catalyst for Convex Optimization ICML 2022 A No-go Theorem for Robust Acceleration in the Hyperbolic Plane NeurIPS 2021 The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization ACML 2021 A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization AISTATS 2020