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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

ReSync: Riemannian Subgradient-based Robust Rotation Synchronization NIPS 2023
An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023
Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence AAAI 2023
Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems NIPS 2023
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization NIPS 2023
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression ICML 2023
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification JMLR 2023
SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization NIPS 2023
STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games COLT 2023
Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022
Nonconvex Matrix Completion with Linearly Parameterized Factors JMLR 2022
Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning JMLR 2022
Stochastic Zeroth-Order Optimization under Nonstationarity and Nonconvexity JMLR 2022
Randomized Stochastic Gradient Descent Ascent AISTATS 2022
Dimension-free Complexity Bounds for High-order Nonconvex Finite-sum Optimization ICML 2022
CCCP is Frank-Wolfe in disguise NIPS 2022
The role of optimization geometry in single neuron learning AISTATS 2022
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization ICML 2022
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(ε^-7/4)$ Complexity ICML 2022
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization ICML 2022
Tight Analysis of Extra-gradient and Optimistic Gradient Methods For Nonconvex Minimax Problems NIPS 2022
Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always IJCAI 2022
Scaling and Scalability: Provable Nonconvex Low-Rank Tensor Completion AISTATS 2022
Federated Learning with Partial Model Personalization ICML 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms ICML 2022