It's time to turn prediction markets into a decision-making operating system

Human coordination is bottlenecked by a terrible algorithm. When a DAO, a corporation, or a nation-state makes a decision, it ...
IEEE

A Fast Closed-Form Gradient-Descent Algorithm for Beampattern Synthesis

Abstract: A fast gradient-descent (FGD) method is proposed for far-field pattern synthesis of large antenna arrays. Compared with conventional gradient-descent (GD) methods for pattern synthesis where ...
Search Engine Land

Google algorithm updates 2025 in review: 3 core updates and 1 spam update

Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...
IEEE

Gradient Descent Algorithm based on Extended State Observer for Loss Minimization of Ultralocal Model Predictive Controlled PMSM Drives

Abstract: Hybrid loss minimization algorithms in electrical drives combine the benefits of search-based and model-based approaches to deliver fast and robust dynamic responses. This article presents a ...
GitHub

Orthogonal Gradient Descent (OGD) for Continual Learning

This repository explores the concept of Orthogonal Gradient Descent (OGD) as a method to mitigate catastrophic forgetting in deep neural networks during continual learning scenarios. Catastrophic ...
Scientific Research Publishing

Bottou, L. (2010) Large-Scale Machine Learning with Stochastic Gradient Descent. Proceedings of COMPSTAT 2010, Paris, 22-27 August 2010, 177-186.

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...
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 ...
GitHub

gradient-descent-algorithm

This file explores the working of various Gradient Descent Algorithms to reach a solution. Algorithms used are: Batch Gradient Descent, Mini Batch Gradient Descent, and Stochastic Gradient Descent ...