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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

Sparse Extreme Multi-label Learning with Oracle Property ICML 2019
Decentralized Dictionary Learning Over Time-Varying Digraphs JMLR 2019
Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery JMLR 2019
Model-free Nonconvex Matrix Completion: Local Minima Analysis and Applications in Memory-efficient Kernel PCA JMLR 2019
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization ICML 2019
Geometry and Symmetry in Short-and-Sparse Deconvolution ICML 2019
AdaGrad Stepsizes: Sharp Convergence Over Nonconvex Landscapes ICML 2019
A Composite Randomized Incremental Gradient Method ICML 2019
Lower Bounds for Smooth Nonconvex Finite-Sum Optimization ICML 2019
Alternating Minimizations Converge to Second-Order Optimal Solutions ICML 2019
Stochastic Nonconvex Optimization with Large Minibatches ALT 2019
Cubic Regularization with Momentum for Nonconvex Optimization UAI 2019
Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems AAAI 2019
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution NIPS 2019
SpiderBoost and Momentum: Faster Variance Reduction Algorithms NIPS 2019
Convergent Policy Optimization for Safe Reinforcement Learning NIPS 2019
Heavy-ball Algorithms Always Escape Saddle Points IJCAI 2019
Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019
Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization IJCAI 2019
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems AISTATS 2019
Escaping from saddle points on Riemannian manifolds NIPS 2019
Fast and Provable ADMM for Learning with Generative Priors NIPS 2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization NIPS 2019
A Nonconvex Projection Method for Robust PCA AAAI 2019
On Constrained Nonconvex Stochastic Optimization: A Case Study for Generalized Eigenvalue Decomposition AISTATS 2019