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stochastic gradient descent

1088 papers

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Also known as

SGD ASGD SAGA SGM SGDA PSGD SKGD

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

Stochastic Proximal Gradient Descent with Acceleration Techniques NIPS 2014
Large-Margin Convex Polytope Machine NIPS 2014
Adaptivity of Averaged Stochastic Gradient Descent to Local Strong Convexity for Logistic Regression JMLR 2014
Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs AISTATS 2014
Doubly Aggressive Selective Sampling Algorithms for Classification AISTATS 2014
A Bayesian Framework for Online Classifier Ensemble ICML 2014
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods ICML 2014
Statistical analysis of stochastic gradient methods for generalized linear models ICML 2014
Simultaneous Model Selection and Optimization through Parameter-free Stochastic Learning NIPS 2014
Online and Stochastic Gradient Methods for Non-decomposable Loss Functions NIPS 2014
Stochastic Gradient Descent, Weighted Sampling, and the Randomized Kaczmarz algorithm NIPS 2014
Accelerated Stochastic Gradient Method for Composite Regularization AISTATS 2014
Training Highly Multiclass Classifiers JMLR 2014
LIBOL: A Library for Online Learning Algorithms JMLR 2014
Bayesian Sampling Using Stochastic Gradient Thermostats NIPS 2014
Communication-Efficient Distributed Dual Coordinate Ascent NIPS 2014
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization JMLR 2013
Communication-Efficient Algorithms for Statistical Optimization JMLR 2013
Linear Convergence with Condition Number Independent Access of Full Gradients NIPS 2013
Second Order Online Collaborative Filtering ACML 2013
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server NIPS 2013
Understanding Dropout NIPS 2013
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NIPS 2013
The Fast Convergence of Incremental PCA NIPS 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes ICML 2013