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nonconvex optimization

316 papers

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stochastic gradient descent (1088) stochastic optimization (1060) variance reduction (520) gradient descent (1143) convergence rate (606) non-convex optimization (546) stochastic gradient (296) nonsmooth optimization (49) minimax optimization (186) convergence analysis (394)

Papers

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems AAAI 2024
Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization NIPS 2024
Multi-View Randomized Kernel Classification via Nonconvex Optimization AAAI 2024
CLOSURE: Fast Quantification of Pose Uncertainty Sets RSS 2024
A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity JMLR 2024
Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence AISTATS 2024
Open Problem: Black-Box Reductions and Adaptive Gradient Methods for Nonconvex Optimization COLT 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization AISTATS 2024
An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization AISTATS 2024
Shuffling Gradient-Based Methods for Nonconvex-Concave Minimax Optimization NIPS 2024
Adam with model exponential moving average is effective for nonconvex optimization NIPS 2024
Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024
Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach AISTATS 2024
Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis IJCAI 2024
Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness AAAI 2024
Nonconvex scenario optimization for data-driven reachability L4DC 2024
An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024
Decentralized Sum-of-Nonconvex Optimization AAAI 2024
Convergence for nonconvex ADMM, with applications to CT imaging JMLR 2024
Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks JMLR 2024
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis COLT 2024
Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization ICML 2023
Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data ICML 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023