gradient descent

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift ICML 2015 Deeply-Supervised Nets AISTATS 2015 Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets NeurIPS 2015 Fast Exact Matrix Completion with Finite Samples COLT 2015 Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis ICML 2015 From Averaging to Acceleration, There is Only a Step-size COLT 2015 Global Supervised Descent Method CVPR 2015 HONOR: Hybrid Optimization for NOn-convex Regularized problems NeurIPS 2015 Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems NeurIPS 2015 Photonic Delay Systems as Machine Learning Implementations JMLR 2015 Preconditioned Spectral Descent for Deep Learning NeurIPS 2015 Recursive Frechet Mean Computation on the Grassmannian and its Applications to Computer Vision ICCV 2015 Robust Regression via Hard Thresholding NeurIPS 2015 StopWasting My Gradients: Practical SVRG NeurIPS 2015 Training Very Deep Networks NeurIPS 2015 A Convergence Rate Analysis for LogitBoost, MART and Their Variant ICML 2014 A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights NeurIPS 2014 DFacTo: Distributed Factorization of Tensors NeurIPS 2014 Discriminative Metric Learning by Neighborhood Gerrymandering NeurIPS 2014 Early Stopping and Non-parametric Regression: An Optimal Data-dependent Stopping Rule JMLR 2014 Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NeurIPS 2014 Learning Polynomials with Neural Networks ICML 2014 Photometric Bundle Adjustment for Dense Multi-View 3D Modeling CVPR 2014 The limits of squared Euclidean distance regularization NeurIPS 2014 Accelerated Mini-Batch Stochastic Dual Coordinate Ascent NeurIPS 2013