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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

Nonconvex Low-Rank Tensor Completion from Noisy Data NIPS 2019
SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points NIPS 2019
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme NIPS 2019
A Stochastic Composite Gradient Method with Incremental Variance Reduction NIPS 2019
A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery ICML 2018
Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction AISTATS 2018
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NIPS 2018
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion ICML 2018
On the Local Minima of the Empirical Risk NIPS 2018
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization NIPS 2018
A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery AISTATS 2018
Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization ICML 2018
Construction of Incoherent Dictionaries via Direct Babel Function Minimization ACML 2018
Nonconvex Optimization for Regression with Fairness Constraints ICML 2018
On the Convergence Properties of a K-step Averaging Stochastic Gradient Descent Algorithm for Nonconvex Optimization IJCAI 2018
Stochastic Nested Variance Reduction for Nonconvex Optimization NIPS 2018
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization IJCAI 2018
A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization AISTATS 2018
Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models IJCAI 2018
Scalable Robust Matrix Factorization with Nonconvex Loss NIPS 2018
How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD NIPS 2018
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property NIPS 2018
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere NIPS 2018
Continuous Relaxation of MAP Inference: A Nonconvex Perspective CVPR 2018
Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization NIPS 2018