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

Direct Loss Minimization for Structured Prediction NIPS 2010
An analysis on negative curvature induced by singularity in multi-layer neural-network learning NIPS 2010
Understanding the difficulty of training deep feedforward neural networks AISTATS 2010
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NIPS 2009
Efficient Learning using Forward-Backward Splitting NIPS 2009
On Learning Rotations NIPS 2009
Learning Non-Linear Combinations of Kernels NIPS 2009
Analysis of SVM with Indefinite Kernels NIPS 2009
Heavy-Tailed Symmetric Stochastic Neighbor Embedding NIPS 2009
ICA based on a Smooth Estimation of the Differential Entropy NIPS 2008
Mind the Duality Gap: Logarithmic regret algorithms for online optimization NIPS 2008
Adaptive Online Gradient Descent NIPS 2007
Sparse Boosting JMLR 2006
An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models NIPS 2006
Online Clustering of Moving Hyperplanes NIPS 2006
Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005
Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space JMLR 2003
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem JMLR 2003
Prior Knowledge and Preferential Structures in Gradient Descent Learning Algorithms JMLR 2001