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stochastic gradient descent

1088 papers

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Also known as

SGD

Co-occurring keywords

non-convex optimization (546) distributed learning (563) neural network optimization (1293) convergence rate (606) convex optimization (1320) neural network (6616) variance reduction (520) stochastic optimization (1060) convergence analysis (394) differential privacy (1010)

Papers

Erratum: SGDQN is Less Careful than Expected JMLR 2010
Periodic Step Size Adaptation for Single Pass On-line Learning NIPS 2009
SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent JMLR 2009
Convergent Temporal-Difference Learning with Arbitrary Smooth Function Approximation NIPS 2009
A Convergent $O(n)$ Temporal-difference Algorithm for Off-policy Learning with Linear Function Approximation NIPS 2008
Deep Learning with Kernel Regularization for Visual Recognition NIPS 2008
Very Fast Online Learning of Highly Non Linear Problems JMLR 2007
A Stochastic Algorithm for Feature Selection in Pattern Recognition JMLR 2007
Incremental Natural Actor-Critic Algorithms NIPS 2007
Topmoumoute Online Natural Gradient Algorithm NIPS 2007
Fast Variational Inference for Large-scale Internet Diagnosis NIPS 2007
A Tree Parameterization for Efficiently Computing Maximum Likelihood Maps using Gradient Descent RSS 2007
Step Size Adaptation in Reproducing Kernel Hilbert Space JMLR 2006