conftrace_

nonsmooth optimization

49 papers

Explore in graph

Co-occurring keywords

nonconvex optimization (316) convex optimization (1321) stochastic optimization (1060) proximal gradient (74) stochastic gradient descent (1091) variance reduction (523) stochastic gradient (296) subgradient method (24) proximal method (26) convergence analysis (395)

Papers

De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem AAAI 2025
A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization JMLR 2025
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024
Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees JMLR 2024
A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems AAAI 2024
Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization NIPS 2024
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization NIPS 2023
Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems COLT 2023
Deterministic Nonsmooth Nonconvex Optimization COLT 2023
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023
Computing D-Stationary Points of $ρ$-Margin Loss SVM AISTATS 2022
Automatic differentiation of nonsmooth iterative algorithms NIPS 2022
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization JMLR 2022
Global Convergence of Direct Policy Search for State-Feedback $\mathcal{H}_\infty$ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential NIPS 2022
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! ICML 2022
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization NIPS 2022
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold JMLR 2022
Oracle Complexity in Nonsmooth Nonconvex Optimization JMLR 2022
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022
Three Operator Splitting with a Nonconvex Loss Function ICML 2021
On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization JMLR 2021
Oracle Complexity in Nonsmooth Nonconvex Optimization NIPS 2021
Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums ICML 2021
Nonsmooth Implicit Differentiation for Machine-Learning and Optimization NIPS 2021
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems NIPS 2021