non-convex optimization

Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers AISTATS 2022 Differentially Private Federated Learning on Heterogeneous Data AISTATS 2022 Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization ICML 2022 Dimension-free convergence rates for gradient Langevin dynamics in RKHS COLT 2022 Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima JMLR 2022 Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems AAAI 2022 Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning NeurIPS 2022 Fast and Provable Nonconvex Tensor RPCA ICML 2022 Faster non-convex federated learning via global and local momentum UAI 2022 Faster Perturbed Stochastic Gradient Methods for Finding Local Minima ALT 2022 Federated Learning with Partial Model Personalization ICML 2022 Federated Minimax Optimization: Improved Convergence Analyses and Algorithms ICML 2022 Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization NeurIPS 2022 Fine-Grained Analysis of Stability and Generalization for Modern Meta Learning Algorithms NeurIPS 2022 Finite-Sum Coupled Compositional Stochastic Optimization: Theory and Applications ICML 2022 From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent NeurIPS 2022 Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers ICML 2022 Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling ICML 2022 Global Convergence and Stability of Stochastic Gradient Descent NeurIPS 2022 Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression NeurIPS 2022 GraB: Finding Provably Better Data Permutations than Random Reshuffling NeurIPS 2022 Gradient-Free Method for Heavily Constrained Nonconvex Optimization ICML 2022 Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization NeurIPS 2022 High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize ICLR 2022 High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails ICML 2022