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  • Pegasos
  • Referenced in 94 articles [sw08752]
  • analyze a simple and effective stochastic sub-gradient 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]
  • Lock-Free Approach to Parallelizing Stochastic Gradient Descent. Stochastic Gradient Descent (SGD) is a popular...

  • SGD-QN
  • Referenced in 23 articles [sw19411]
  • careful quasi-Newton stochastic gradient descent. The SGD-QN algorithm is a stochastic gradient descent ... fast as a first-order 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 gradient-free optimization ... gradient-based 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, L-BFGS, 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...

  • ADMM-Softmax
  • 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...

  • FIt-SNE
  • Referenced in 1 article [sw34901]
  • Interpolation-based t-SNE (FIt-SNE). t-Stochastic Neighborhood Embedding (t-SNE) is a highly ... algorithm to approximate the gradient at each iteration of gradient descent. We accelerated this implementation...

  • ADOL-C
  • Referenced in 233 articles [sw00019]
  • ADOL-C: 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...