conftrace_

gradient descent

1144 papers

Explore in graph

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

Stochastic Optimization of PCA with Capped MSG NIPS 2013
On autoencoder scoring ICML 2013
On the difficulty of training recurrent neural networks ICML 2013
Pregrasp Manipulation as Trajectory Optimization RSS 2013
Alternating Decision Forests CVPR 2013
Linear Convergence with Condition Number Independent Access of Full Gradients NIPS 2013
Dimension-Free Exponentiated Gradient NIPS 2013
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction NIPS 2013
On Decomposing the Proximal Map NIPS 2013
Regularization-Free Principal Curve Estimation JMLR 2013
Scaled Gradients on Grassmann Manifolds for Matrix Completion NIPS 2012
Deep Learning Made Easier by Linear Transformations in Perceptrons AISTATS 2012
Optimal Distributed Online Prediction Using Mini-Batches JMLR 2012
Online Optimization with Gradual Variations COLT 2012
Gradient-based kernel method for feature extraction and variable selection NIPS 2012
Generic Methods for Optimization-Based Modeling AISTATS 2012
Better Mini-Batch Algorithms via Accelerated Gradient Methods NIPS 2011
Distributed Delayed Stochastic Optimization NIPS 2011
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization NIPS 2011
Multiclass Boosting: Theory and Algorithms NIPS 2011
Beyond the regret minimization barrier: an optimal algorithm for stochastic strongly-convex optimization COLT 2011
Regression on Fixed-Rank Positive Semidefinite Matrices: A Riemannian Approach JMLR 2011
Minimax Policies for Combinatorial Prediction Games COLT 2011
Statistical Tests for Optimization Efficiency NIPS 2011
Efficient Methods for Overlapping Group Lasso NIPS 2011