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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

Finding Local Minima Efficiently in Decentralized Optimization NIPS 2023
Universal Gradient Descent Ascent Method for Nonconvex-Nonconcave Minimax Optimization NIPS 2023
Proximal Splitting Adversarial Attack for Semantic Segmentation CVPR 2023
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations ICML 2023
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression ICML 2023
ReSync: Riemannian Subgradient-based Robust Rotation Synchronization NIPS 2023
Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization ICML 2023
Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data ICML 2023
Stable Nonconvex-Nonconcave Training via Linear Interpolation NIPS 2023
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification JMLR 2023
Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence AAAI 2023
Clustered Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2023
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023
Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions ICML 2023
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning ICML 2023
Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization ICML 2023
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization ICML 2023
An Inexact Augmented Lagrangian Algorithm for Training Leaky ReLU Neural Network with Group Sparsity JMLR 2023
IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation AAAI 2023
Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023
Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data ICML 2023
DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning ICML 2023
Efficient Privacy-Preserving Stochastic Nonconvex Optimization UAI 2023