
Pegasos
 Referenced in 94 articles
[sw08752]
 analyze a simple and effective stochastic subgradient descent algorithm for solving the optimization problem ... example. In contrast, previous analyses of stochastic gradient descent methods for SVMs require...

HOGWILD
 Referenced in 50 articles
[sw28396]
 LockFree Approach to Parallelizing Stochastic Gradient Descent. Stochastic Gradient Descent (SGD) is a popular...

SGDQN
 Referenced in 23 articles
[sw19411]
 careful quasiNewton stochastic gradient descent. The SGDQN algorithm is a stochastic gradient descent ... fast as a firstorder stochastic gradient descent but requires less iterations to achieve...

SGDR
 Referenced in 7 articles
[sw30752]
 SGDR: Stochastic Gradient Descent with Warm Restarts. Restart techniques are common in gradientfree optimization ... gradientbased optimization to improve the rate of convergence in accelerated gradient schemes to deal ... simple warm restart technique for stochastic gradient descent to improve its anytime performance when training...

CNTK
 Referenced in 10 articles
[sw21056]
 recurrent networks (RNNs/LSTMs). It implements stochastic gradient descent (SGD, error backpropagation) learning with automatic differentiation...

BudgetedSVM
 Referenced in 4 articles
[sw10893]
 rank Linearization SVM, and Budgeted Stochastic Gradient Descent. BudgetedSVM trains models with accuracy comparable...

DeepTrack
 Referenced in 3 articles
[sw27576]
 accumulation. Second, we enhance the ordinary Stochastic Gradient Descent approach in CNN training with...

LargeVis
 Referenced in 2 articles
[sw34905]
 effectively optimized through asynchronous stochastic gradient descent with a linear time complexity. The whole procedure...

Jensen
 Referenced in 1 article
[sw26651]
 algorithms (including Gradient Descent, LBFGS, Stochastic Gradient Descent, Conjugate Gradient, etc.), and a family...

libFM
 Referenced in 1 article
[sw29652]
 implementation for factorization machines that features stochastic gradient descent (SGD) and alternating least squares...

ProPPR
 Referenced in 1 article
[sw32915]
 learning can be performed using parallel stochastic gradient descent with a supervised personalized PageRank algorithm...

ADMMSoftmax
 Referenced in 1 article
[sw32744]
 Krylov, a quasi Newton, and a stochastic gradient descent method...

MLitB
 Referenced in 1 article
[sw30254]
 deep neural networks with synchronized, distributed stochastic gradient descent. MLitB offers several important opportunities...

SINE
 Referenced in 1 article
[sw32344]
 missing information on representation learning. A stochastic gradient descent based online algorithm is derived...

FItSNE
 Referenced in 1 article
[sw34901]
 Interpolationbased tSNE (FItSNE). tStochastic Neighborhood Embedding (tSNE) is a highly ... algorithm to approximate the gradient at each iteration of gradient descent. We accelerated this implementation...

ADOLC
 Referenced in 233 articles
[sw00019]
 ADOLC: Automatic Differentiation of C/C++. We present...

BARON
 Referenced in 311 articles
[sw00066]
 BARON is a computational system for solving nonconvex...

CSDP
 Referenced in 197 articles
[sw00169]
 CSDP, A C Library for Semidefinite Programming. This...

GAP
 Referenced in 2850 articles
[sw00320]
 GAP is a system for computational discrete algebra...