non-convex optimization

Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning ICML 2019 Differentially Private Empirical Risk Minimization with Non-convex Loss Functions ICML 2019 Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View AAAI 2019 Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019 Distribution-Dependent Analysis of Gibbs-ERM Principle COLT 2019 Dynamic Local Regret for Non-convex Online Forecasting NeurIPS 2019 Efficient Algorithms for Smooth Minimax Optimization NeurIPS 2019 Efficient Dictionary Learning with Gradient Descent ICML 2019 Efficient Full-Matrix Adaptive Regularization ICML 2019 Efficiently avoiding saddle points with zero order methods: No gradients required NeurIPS 2019 Efficiently escaping saddle points on manifolds NeurIPS 2019 Efficiently testing local optimality and escaping saddles for ReLU networks ICLR 2019 Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods AISTATS 2019 Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent NeurIPS 2019 Escaping from saddle points on Riemannian manifolds NeurIPS 2019 Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging ICCV 2019 Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery NeurIPS 2019 Fast Algorithms for Sparse Reduced-Rank Regression AISTATS 2019 Fast and Provable ADMM for Learning with Generative Priors NeurIPS 2019 Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds AISTATS 2019 Faster Stochastic Alternating Direction Method of Multipliers for Nonconvex Optimization ICML 2019 Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems UAI 2019 Generalized Majorization-Minimization ICML 2019 Generalized Majorization-Minimization for Non-Convex Optimization IJCAI 2019 General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme NeurIPS 2019