proximal point algorithm

A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm AAAI 2026 Efficient Interpolation between Extragradient and Proximal Methods for Weak MVIs ICLR 2025 CPP-Net: Embracing Multi-Scale Feature Fusion into Deep Unfolding CP-PPA Network for Compressive Sensing CVPR 2024 Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties COLT 2023 Learning Proximal Operators to Discover Multiple Optima ICLR 2023 Convergence and Stability of the Stochastic Proximal Point Algorithm with Momentum L4DC 2022 RECAPP: Crafting a More Efficient Catalyst for Convex Optimization ICML 2022 The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization NeurIPS 2022 From Low Probability to High Confidence in Stochastic Convex Optimization JMLR 2021 A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization NeurIPS 2020 Heavy-ball Algorithms Always Escape Saddle Points IJCAI 2019 Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization JMLR 2018 A Universal Catalyst for First-Order Optimization NeurIPS 2015 Total Variation Regularization of Shape Signals CVPR 2015 Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization ICML 2015