Nature

Convergence analysis and application for high-order neural networks based on gradient descent learning algorithm via smooth regularization

Higher order networks (HONs) extend the traditional pairwise interactions between nodes to higher order interactions involving three or more nodes. This allows for the modeling of more complex ...
Nature

Tighter privacy auditing of differentially private stochastic gradient descent in the hidden state threat model

We address the problem of empirical privacy auditing for differentially private stochas- tic gradient descent (DP-SGD) under the hidden state threat model, where adversaries only observe the final ...
Visual Studio Magazine

Kernel Ridge Regression with Stochastic Gradient Descent Training Using C#

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...
Visual Studio Magazine

Kernel Ridge Regression with Stochastic Gradient Descent Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...