Researchers at the University of Tokyo developed ADOPT, a novel optimization algorithm that overcomes convergence issues in adaptive gradient methods, promising more reliable and efficient ...

While there are a number of other libraries out there to help with gradient boosting or other solutions to help train machine learning systems (XGBoost being one), Bilenko argued that the benefit ...

XGBoost is an open source machine learning library that implements optimized distributed gradient boosting algorithms. XGBoost uses parallel processing for fast performance, handles missing values ...