Microsoft

A Scalable Algorithm for Fair Influence Maximization with Unbiased Estimator

This paper studies the fair influence maximization problem with efficient algorithms. In particular, given a graph G, a community structure C consisting of disjoint communities, and a budget k, the ...
IEEE

Maximum Likelihood Estimation for Line Parameters in Distribution Grids Based on Expectation Maximization Algorithm

Abstract: This paper proposes a method for obtaining nonlinear models of distribution grid based on available measurements from the power grid. We formulate a maximum likelihood estimation (MLE) ...
GitHub

Performance of the EM algorithm and imputation methods with different missing data mechanisms

Final project of the course MATH-517 Statistical Computation and Visualization (EPFL, Fall 2023). The goal of this project is to study the performance of inference using the Expectation Maximization ...
IEEE

Fast Computation of EM Scattering From Moving PEC Target Based on MT-ACA-MoM Algorithm

Abstract: To solve the electromagnetic (EM) scattering problems involving a single, complexly moving perfectly electric conductor (PEC) with the traditional adaptive cross approximation-method of ...
TechCrunch

Instagram’s new ‘Your Algorithm’ tool gives you more control over the Reels you see

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...
GitHub

pyEM: Expectation Maximization with MAP estimation in Python

If you use these materials for teaching or research, please use the following citation: Rhoads, S. A. (2023). pyEM: Expectation Maximization with MAP estimation in ...