non-convex optimization

Oracle Complexity in Nonsmooth Nonconvex Optimization JMLR 2022 Outlier-Robust Sparse Estimation via Non-Convex Optimization NeurIPS 2022 Permutation Compressors for Provably Faster Distributed Nonconvex Optimization ICLR 2022 Polynomial time guarantees for the Burer-Monteiro method NeurIPS 2022 Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out ICML 2022 Proximal and Federated Random Reshuffling ICML 2022 Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization ICML 2022 Randomized Stochastic Gradient Descent Ascent AISTATS 2022 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(ε^-7/4)$ Complexity ICML 2022 Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization NeurIPS 2022 Revisit last-iterate convergence of mSGD under milder requirement on step size NeurIPS 2022 Robustness to Unbounded Smoothness of Generalized SignSGD NeurIPS 2022 Robust Training in High Dimensions via Block Coordinate Geometric Median Descent AISTATS 2022 SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems NeurIPS 2022 Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees NeurIPS 2022 Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion AISTATS 2022 Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Estimation from Incomplete Measurements JMLR 2022 SGD with Coordinate Sampling: Theory and Practice JMLR 2022 Sharp Analysis of Stochastic Optimization under Global Kurdyka-Lojasiewicz Inequality NeurIPS 2022 Sharp Restricted Isometry Property Bounds for Low-Rank Matrix Recovery Problems with Corrupted Measurements AAAI 2022 Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization JMLR 2022 Single Loop Gaussian Homotopy Method for Non-convex Optimization NeurIPS 2022 Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022 Stochastic Zeroth-Order Optimization under Nonstationarity and Nonconvexity JMLR 2022 TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels NeurIPS 2022