accelerated optimization

Accelerated Parameter-Free Stochastic Optimization COLT 2024 Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024 Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values NeurIPS 2024 Advancing the Lower Bounds: an Accelerated, Stochastic, Second-order Method with Optimal Adaptation to Inexactness ICLR 2024 Accelerated and Sparse Algorithms for Approximate Personalized PageRank and Beyond COLT 2023 Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots ICML 2022 Open Problem: Running time complexity of accelerated ℓ_1-regularized PageRank COLT 2022 Bayesian Coresets: Revisiting the Nonconvex Optimization Perspective AISTATS 2021 Rethinking the Variational Interpretation of Accelerated Optimization Methods NeurIPS 2021 Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks AISTATS 2020 Acceleration through spectral density estimation ICML 2020 A simpler approach to accelerated optimization: iterative averaging meets optimism ICML 2020 Federated Accelerated Stochastic Gradient Descent NeurIPS 2020 Convergence-Rate-Matching Discretization of Accelerated Optimization Flows Through Opportunistic State-Triggered Control NeurIPS 2019 ADMM and Accelerated ADMM as Continuous Dynamical Systems ICML 2018 Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions ICML 2018 Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms NeurIPS 2018 Integration Methods and Optimization Algorithms NeurIPS 2017 A Simple Practical Accelerated Method for Finite Sums NeurIPS 2016 An Accelerated Proximal Coordinate Gradient Method NeurIPS 2014 Accelerated Variational Dirichlet Process Mixtures NeurIPS 2006