non-convex optimization

Convergence of Cubic Regularization for Nonconvex Optimization under KL Property NeurIPS 2018 Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization ICML 2018 Cutting plane methods can be extended into nonconvex optimization COLT 2018 Data-Dependent Stability of Stochastic Gradient Descent ICML 2018 Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization NeurIPS 2018 Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms NeurIPS 2018 Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization NeurIPS 2018 Escaping Saddle Points in Constrained Optimization NeurIPS 2018 Escaping Saddles with Stochastic Gradients ICML 2018 Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow ICML 2018 Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction AISTATS 2018 First-order Stochastic Algorithms for Escaping From Saddle Points in Almost Linear Time NeurIPS 2018 Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints COLT 2018 Global Convergence of Langevin Dynamics Based Algorithms for Nonconvex Optimization NeurIPS 2018 Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere NeurIPS 2018 Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk COLT 2018 Global Non-convex Optimization with Discretized Diffusions NeurIPS 2018 Global Optimality Conditions for Deep Neural Networks ICLR 2018 Gradient Descent Learns Linear Dynamical Systems JMLR 2018 Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks ICML 2018 Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery JMLR 2018 How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NeurIPS 2018 How To Make the Gradients Small Stochastically: Even Faster Convex and Nonconvex SGD NeurIPS 2018 Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion ICML 2018 Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization ICML 2018