Non-Convex Optimization
182 papers
Papers per year
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Papers
Decentralized Riemannian Algorithm for Nonconvex Minimax Problems
AAAI 2023
Faster Gradient-Free Methods for Escaping Saddle Points
ICLR 2023
Implicit Regularization and Entrywise Convergence of Riemannian Optimization for Low Tucker-Rank Tensor Completion
JMLR 2023
Linear Regularizers Enforce the Strict Saddle Property
AAAI 2023
Near Optimal Heteroscedastic Regression with Symbiotic Learning
COLT 2023
Online Nonconvex Optimization with Limited Instantaneous Oracle Feedback
COLT 2023
On the Lower Bound of Minimizing Polyak-Łojasiewicz functions
COLT 2023
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold
COLT 2023
Over-parametrization via Lifting for Low-rank Matrix Sensing: Conversion of Spurious Solutions to Strict Saddle Points
ICML 2023
Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
ICLR 2023
Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity
JMLR 2023
Solving a Class of Non-Convex Minimax Optimization in Federated Learning
NeurIPS 2023
Solving stochastic weak Minty variational inequalities without increasing batch size
ICLR 2023
STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games
COLT 2023
The Computational Complexity of Finding Stationary Points in Non-Convex Optimization
COLT 2023
Approximate Secular Equations for the Cubic Regularization Subproblem
NeurIPS 2022
Constrained Langevin Algorithms with L-mixing External Random Variables
NeurIPS 2022
Dimension-free convergence rates for gradient Langevin dynamics in RKHS
COLT 2022
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
ICLR 2022
Finding Second-Order Stationary Points in Nonconvex-Strongly-Concave Minimax Optimization
NeurIPS 2022
Gradient-Free Methods for Deterministic and Stochastic Nonsmooth Nonconvex Optimization
NeurIPS 2022
High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize
ICLR 2022
Improved Imaging by Invex Regularizers with Global Optima Guarantees
NeurIPS 2022
Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares
COLT 2022
SAPD+: An Accelerated Stochastic Method for Nonconvex-Concave Minimax Problems
NeurIPS 2022