conftrace_

gradient descent

1144 papers

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Also known as

GD

Co-occurring keywords

neural network (6616) neural network optimization (1293) convex optimization (1321) non-convex optimization (547) convergence rate (607) stochastic optimization (1060) convergence analysis (395) stochastic gradient descent (1091) nonconvex optimization (316) implicit bia (107)

Papers

Preconditioned Spectral Descent for Deep Learning NIPS 2015
Photonic Delay Systems as Machine Learning Implementations JMLR 2015
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis ICML 2015
A Universal Catalyst for First-Order Optimization NIPS 2015
Recursive Frechet Mean Computation on the Grassmannian and its Applications to Computer Vision ICCV 2015
Fast Exact Matrix Completion with Finite Samples COLT 2015
From Averaging to Acceleration, There is Only a Step-size COLT 2015
Global Supervised Descent Method CVPR 2015
Robust Regression via Hard Thresholding NIPS 2015
Deeply-Supervised Nets AISTATS 2015
Training Very Deep Networks NIPS 2015
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets NIPS 2015
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements NIPS 2015
StopWasting My Gradients: Practical SVRG NIPS 2015
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems NIPS 2015
HONOR: Hybrid Optimization for NOn-convex Regularized problems NIPS 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift ICML 2015
DFacTo: Distributed Factorization of Tensors NIPS 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 NIPS 2014
Learning Polynomials with Neural Networks ICML 2014
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights NIPS 2014
Photometric Bundle Adjustment for Dense Multi-View 3D Modeling CVPR 2014
A Convergence Rate Analysis for LogitBoost, MART and Their Variant ICML 2014
Algorithms and Hardness Results for Parallel Large Margin Learning JMLR 2013