IEEE

Shuffled Linear Regression via Spectral Matching

Abstract: Shuffled linear regression (SLR) seeks to estimate latent features through a linear transformation, complicated by unknown permutations in the measurement dimensions. This problem extends ...
GitHub

Efficient tree-based nonlinear anchor regression and classification for Python.

article{londschien2025, title={Domain Generalization and Adaptation in Intensive Care with Anchor Regression}, author={Londschien, Malte, Burger, Manuel, R{\"a}tsch ...
IEEE

Convergence of Online Identification for Mixed Linear Regression with Two Components

Abstract: This paper investigates the online identification and data clustering problems for mixed linear regression (MLR) model with two components, including the symmetric MLR, and the asymmetric ...
Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...