local minimum

Stochastic Cubic Regularization for Fast Nonconvex Optimization NeurIPS 2018 Structured Local Minima in Sparse Blind Deconvolution NeurIPS 2018 The Multilinear Structure of ReLU Networks ICML 2018 Third-order Smoothness Helps: Faster Stochastic Optimization Algorithms for Finding Local Minima NeurIPS 2018 Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks CVPR 2018 Understanding the Loss Surface of Neural Networks for Binary Classification ICML 2018 A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics COLT 2017 Diverse Neural Network Learns True Target Functions AISTATS 2017 Efficient Reinforcement Learning with Hierarchies of Machines by Leveraging Internal Transitions IJCAI 2017 Global Optimality in Neural Network Training CVPR 2017 Learning Sparse Representations in Reinforcement Learning with Sparse Coding IJCAI 2017 Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach AISTATS 2017 Surprising properties of dropout in deep networks COLT 2017 Deep Learning without Poor Local Minima NeurIPS 2016 Efficient approaches for escaping higher order saddle points in non-convex optimization COLT 2016 Global Optimality of Local Search for Low Rank Matrix Recovery NeurIPS 2016 Matrix Completion has No Spurious Local Minimum NeurIPS 2016 The Loss Surfaces of Multilayer Networks AISTATS 2015 Weakly Supervised Object Detection With Convex Clustering CVPR 2015