gradient descent

Alternating minimization for dictionary learning with random initialization NeurIPS 2017 An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis ICML 2017 A Nonconvex Approach for Phase Retrieval: Reshaped Wirtinger Flow and Incremental Algorithms JMLR 2017 A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation AISTATS 2017 Bayesian Network Learning via Topological Order JMLR 2017 Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NeurIPS 2017 Convergence of Gradient EM on Multi-component Mixture of Gaussians NeurIPS 2017 “Convex Until Proven Guilty”: Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions ICML 2017 Differentially Private Empirical Risk Minimization Revisited: Faster and More General NeurIPS 2017 Diving into the shallows: a computational perspective on large-scale shallow learning NeurIPS 2017 Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent AISTATS 2017 Efficient Distributed Learning with Sparsity ICML 2017 Efficient Private ERM for Smooth Objectives IJCAI 2017 Encrypted Accelerated Least Squares Regression AISTATS 2017 Failures of Gradient-Based Deep Learning ICML 2017 Finite-sum Composition Optimization via Variance Reduced Gradient Descent AISTATS 2017 Further and stronger analogy between sampling and optimization: Langevin Monte Carlo and gradient descent COLT 2017 Global Convergence of Non-Convex Gradient Descent for Computing Matrix Squareroot AISTATS 2017 Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs ICML 2017 Gradient Coding: Avoiding Stragglers in Distributed Learning ICML 2017 Gradient Descent Can Take Exponential Time to Escape Saddle Points NeurIPS 2017 Gradient descent GAN optimization is locally stable NeurIPS 2017 Gradient Methods for Submodular Maximization NeurIPS 2017 How to Escape Saddle Points Efficiently ICML 2017 Implicit Regularization in Matrix Factorization NeurIPS 2017