← Keywords

nonconvex optimization

316 papers

Explore in graph

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

Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond COLT 2020
A Feasible Level Proximal Point Method for Nonconvex Sparse Constrained Optimization NIPS 2020
On the Convergence of SARAH and Beyond AISTATS 2020
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model NIPS 2020
Agnostic Learning of a Single Neuron with Gradient Descent NIPS 2020
Bounding the expected run-time of nonconvex optimization with early stopping UAI 2020
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization IJCAI 2020
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms AISTATS 2020
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems NIPS 2020
Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence L4DC 2020
A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems JMLR 2020
Optimization Learning: Perspective, Method, and Applications IJCAI 2020
Stochastic Nested Variance Reduction for Nonconvex Optimization JMLR 2020
An Improved Analysis of Stochastic Gradient Descent with Momentum NIPS 2020
SGD with shuffling: optimal rates without component convexity and large epoch requirements NIPS 2020
PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization ICML 2019
Multi-Frequency Phase Synchronization ICML 2019
Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery NIPS 2019
Efficient Dictionary Learning with Gradient Descent ICML 2019
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points COLT 2019
Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization COLT 2019
Nonconvex sampling with the Metropolis-adjusted Langevin algorithm COLT 2019
Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods AISTATS 2019
Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization AISTATS 2019
Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization ICML 2019