non-convex optimization

Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods JMLR 2024 Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization ALT 2024 An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness NeurIPS 2024 An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024 An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization AISTATS 2024 A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity JMLR 2024 AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024 Barrier Algorithms for Constrained Non-Convex Optimization ICML 2024 B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data NeurIPS 2024 Beyond Single Stationary Policies: Meta-Task Players as Naturally Superior Collaborators NeurIPS 2024 Bridging the Gap between General and Down-Closed Convex Sets in Submodular Maximization IJCAI 2024 Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation AAAI 2024 CLOSURE: Fast Quantification of Pose Uncertainty Sets RSS 2024 Convergence for nonconvex ADMM, with applications to CT imaging JMLR 2024 Decentralized Directed Collaboration for Personalized Federated Learning CVPR 2024 Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization AAAI 2024 Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold ICLR 2024 Decentralized Sum-of-Nonconvex Optimization AAAI 2024 Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization ICLR 2024 Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates ALT 2024 Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach AISTATS 2024 Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization CVPR 2024 Fast and Accurate Estimation of Low-Rank Matrices from Noisy Measurements via Preconditioned Non-Convex Gradient Descent AISTATS 2024 FedAST: Federated Asynchronous Simultaneous Training UAI 2024 Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NeurIPS 2024