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nonconvex optimization

316 papers

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Co-occurring keywords

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

Polynomial time guarantees for the Burer-Monteiro method NIPS 2022
Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization AISTATS 2022
Stochastic DCA with Variance Reduction and Applications in Machine Learning JMLR 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms ICML 2022
Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems L4DC 2022
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback NIPS 2021
Unique sparse decomposition of low rank matrices NIPS 2021
Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization AISTATS 2021
STORM+: Fully Adaptive SGD with Recursive Momentum for Nonconvex Optimization NIPS 2021
FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization NIPS 2021
Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization AISTATS 2021
Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods CVPR 2021
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization AISTATS 2021
Low-Rank Tensor Completion by Approximating the Tensor Average Rank ICCV 2021
SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients NIPS 2021
High Probability Complexity Bounds for Line Search Based on Stochastic Oracles NIPS 2021
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation AISTATS 2021
Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery NIPS 2021
The complexity of nonconvex-strongly-concave minimax optimization UAI 2021
Three Operator Splitting with a Nonconvex Loss Function ICML 2021
PAGE: A Simple and Optimal Probabilistic Gradient Estimator for Nonconvex Optimization ICML 2021
Stochastic Approximation for Online Tensorial Independent Component Analysis COLT 2021
Stability and Generalization of Decentralized Stochastic Gradient Descent AAAI 2021
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond NIPS 2021
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization ACML 2021