GitHub

Kernel Quadrature with Randomly Pivoted Cholesky

Randomly pivoted Cholesky (RPCholesky) is an algorithm for selecting a representative set of landmarks from a set of points, either finite or infinite. Applications include kernel matrix low-rank ...
Investopedia

Algorithmic Trading Explained: Methods, Benefits, and Drawbacks

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician ...
IEEE

Cholesky-KalmanNet: Model-Based Deep Learning With Positive Definite Error Covariance Structure

Abstract: State estimation from noisy observations is crucial across various fields. Traditional methods such as Kalman, Extended Kalman, and Unscented Kalman Filter often struggle with nonlinearities ...
Investopedia

Artificial Intelligence (AI): What It Is, How It Works, Types, and Uses

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Gordon Scott has been an active investor and ...
IEEE

Asynchronous Distributed Nonsmooth Composite Optimization via Computation-Efficient Primal-Dual Proximal Algorithms

Abstract: This paper focuses on a distributed nonsmooth composite optimization problem over a multiagent networked system, in which each agent is equipped with a local Lipschitz-differentiable ...