operator splitting

S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems AAAI 2026 Deep Distributed Optimization for Large-Scale Quadratic Programming ICLR 2025 VFOSA: Variance-Reduced Fast Operator Splitting Algorithms for Generalized Equations JMLR 2025 Achieving Linear Convergence with Parameter-Free Algorithms in Decentralized Optimization NeurIPS 2024 ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models NeurIPS 2024 Accelerating Guided Diffusion Sampling with Splitting Numerical Methods ICLR 2023 Delay-agnostic Asynchronous Coordinate Update Algorithm ICML 2023 Operator Splitting Value Iteration NeurIPS 2022 FedSplit: an algorithmic framework for fast federated optimization NeurIPS 2020 Hamiltonian descent for composite objectives NeurIPS 2019 On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method ICCV 2019 Adaptive Three Operator Splitting ICML 2018 An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method ICML 2018 Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization IJCAI 2018 Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication ICML 2018 GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization ICML 2017 A Simple Practical Accelerated Method for Finite Sums NeurIPS 2016 Alternating Linearization for Structured Regularization Problems JMLR 2014