composite optimization

DCatalyst: A Unified Accelerated Framework for Decentralized Optimization JMLR 2026 A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025 A Tight Convergence Analysis of Inexact Stochastic Proximal Point Algorithm for Stochastic Composite Optimization Problems ICLR 2025 Optimal Decentralized Composite Optimization for Strongly Convex Functions JMLR 2025 A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity JMLR 2024 Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient ICML 2024 High-Probability Convergence for Composite and Distributed Stochastic Minimization and Variational Inequalities with Heavy-Tailed Noise ICML 2024 Local Composite Saddle Point Optimization ICLR 2024 Near-Optimal Convex Simple Bilevel Optimization with a Bisection Method AISTATS 2024 Online Composite Optimization Between Stochastic and Adversarial Environments NeurIPS 2024 Revisiting the Last-Iterate Convergence of Stochastic Gradient Methods ICLR 2024 Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization ICML 2023 A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition JMLR 2023 Automatic Data Augmentation via Invariance-Constrained Learning ICML 2023 Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023 Linearization Algorithms for Fully Composite Optimization COLT 2023 Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization AAAI 2023 Tighter Analysis for ProxSkip ICML 2023 Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective L4DC 2022 Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization IJCAI 2022 Fast Composite Optimization and Statistical Recovery in Federated Learning ICML 2022 Learning Distributionally Robust Models at Scale via Composite Optimization ICLR 2022 When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint JMLR 2022 Zeroth-Order Optimization for Composite Problems with Functional Constraints AAAI 2022 Federated Composite Optimization ICML 2021