non-convex optimization

Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning ICML 2023 Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data ICML 2023 Continuized Acceleration for Quasar Convex Functions in Non-Convex Optimization ICLR 2023 Convergence Analysis of Sequential Federated Learning on Heterogeneous Data NeurIPS 2023 Convergence of AdaGrad for Non-convex Objectives: Simple Proofs and Relaxed Assumptions COLT 2023 Convergence of Alternating Gradient Descent for Matrix Factorization NeurIPS 2023 Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data ICML 2023 Convex and Non-convex Optimization Under Generalized Smoothness NeurIPS 2023 Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence AAAI 2023 Coordinate Descent Methods for Fractional Minimization ICML 2023 Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023 DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity ICLR 2023 Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023 Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023 Decentralized SGD and Average-direction SAM are Asymptotically Equivalent ICML 2023 Deterministic Nonsmooth Nonconvex Optimization COLT 2023 DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning ICML 2023 Differentially Private Matrix Completion through Low-rank Matrix Factorization AISTATS 2023 EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression ICML 2023 Efficient Privacy-Preserving Stochastic Nonconvex Optimization UAI 2023 Enhance Robustness of Machine Learning with Improved Efficiency AAAI 2023 Epidemic Learning: Boosting Decentralized Learning with Randomized Communication NeurIPS 2023 Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023 Fast Block Coordinate Descent for Non-Convex Group Regularizations AISTATS 2023 Faster Adaptive Federated Learning AAAI 2023