gradient descent

A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization ICML 2016 Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features COLING 2016 Basis Learning as an Algorithmic Primitive COLT 2016 Black-box Optimization with a Politician ICML 2016 Deeply-Recursive Convolutional Network for Image Super-Resolution CVPR 2016 Dropping Convexity for Faster Semi-definite Optimization COLT 2016 Dual Space Gradient Descent for Online Learning NeurIPS 2016 Energetic Natural Gradient Descent ICML 2016 Exact Recovery of Hard Thresholding Pursuit NeurIPS 2016 Fast Algorithms for Robust PCA via Gradient Descent NeurIPS 2016 First-order Methods for Geodesically Convex Optimization COLT 2016 Full-Capacity Unitary Recurrent Neural Networks NeurIPS 2016 Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation AISTATS 2016 Global Optimality of Local Search for Low Rank Matrix Recovery NeurIPS 2016 Gradient Descent Only Converges to Minimizers COLT 2016 Hyperparameter optimization with approximate gradient ICML 2016 Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks CVPR 2016 Learning to learn by gradient descent by gradient descent NeurIPS 2016 Low-rank Solutions of Linear Matrix Equations via Procrustes Flow ICML 2016 Online Isotonic Regression COLT 2016 Online PCA with Optimal Regret JMLR 2016 Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow ICML 2016 Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow NeurIPS 2016 A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements NeurIPS 2015 A Universal Catalyst for First-Order Optimization NeurIPS 2015