Today, Google announced that UW Ph.D. student Tianqi Chen has been chosen as a 2016 Google Ph.D. Fellow in machine learning. Chen works with professor Carlos Guestrin in the UW MODE Lab (Machine Learning, Optimization, Distributed Systems and Statistics) and is the creator of XGBoost, an open-source, end-to-end tree boosting system that is designed to be efficient, flexible and portable.
Tree boosting is a highly effective and widely used machine learning method. Researchers have embraced XGBoost because it is… Read more →