nonsmooth optimization

Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold JMLR 2022 Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization JMLR 2022 The power of first-order smooth optimization for black-box non-smooth problems ICML 2022 Adaptive First-Order Methods Revisited: Convex Minimization without Lipschitz Requirements NeurIPS 2021 Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems NeurIPS 2021 Nonsmooth Implicit Differentiation for Machine-Learning and Optimization NeurIPS 2021 On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization JMLR 2021 Oracle Complexity in Nonsmooth Nonconvex Optimization NeurIPS 2021 Private Non-smooth ERM and SCO in Subquadratic Steps NeurIPS 2021 Stability and Convergence of Stochastic Gradient Clipping: Beyond Lipschitz Continuity and Smoothness ICML 2021 Three Operator Splitting with a Nonconvex Loss Function ICML 2021 Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums ICML 2021 Anderson Acceleration of Proximal Gradient Methods ICML 2020 Complexity of Finding Stationary Points of Nonconvex Nonsmooth Functions ICML 2020 Highly smooth minimization of non-smooth problems COLT 2020 Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization ICML 2020 Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method NeurIPS 2020 Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization IJCAI 2020 ProxSGD: Training Structured Neural Networks under Regularization and Constraints ICLR 2020 Safe non-smooth black-box optimization with application to policy search L4DC 2020 A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning NeurIPS 2019 Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems AAAI 2019 Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems JMLR 2019 Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory ICML 2019 On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss Function UAI 2019