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

Expectation-Maximization Based Disturbance Identification and Velocity Tracking for Gimbal Servo Systems With Dynamic Imbalance

Abstract: Dynamic rotor imbalance is widely identified as the primary source of disturbance in gimbal servo systems and a major factor in the deterioration of their velocity tracking performance. 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 ...