nonsmooth optimization

Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex Optimization JMLR 2026 Subgradient Method for System Identification with Non-Smooth Objectives L4DC 2026 A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization JMLR 2025 De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem AAAI 2025 A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems AAAI 2024 Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees JMLR 2024 An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024 Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization NeurIPS 2024 Quantum Algorithms for Non-smooth Non-convex Optimization NeurIPS 2024 An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023 An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization NeurIPS 2023 Deterministic Nonsmooth Nonconvex Optimization COLT 2023 Lifted Bregman Training of Neural Networks JMLR 2023 Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization NeurIPS 2023 On the complexity of nonsmooth automatic differentiation ICLR 2023 RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates ICLR 2023 Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems COLT 2023 Automatic differentiation of nonsmooth iterative algorithms NeurIPS 2022 Computing D-Stationary Points of $ρ$-Margin Loss SVM AISTATS 2022 Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022 Global Convergence of Direct Policy Search for State-Feedback H_∞ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential NeurIPS 2022 Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization NeurIPS 2022 Implicit Differentiation for Fast Hyperparameter Selection in Non-Smooth Convex Learning JMLR 2022 Oracle Complexity in Nonsmooth Nonconvex Optimization JMLR 2022 ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! ICML 2022