1. Thomas Bartz-Beielstein, Sowmya Chandrasekaran, and Frederik Rehbach. 2023. Case study II: tuning of gradient boosting (xgboost). In Hyperparameter Tuning for Machine and Deep Learning with R: A Practical Guide. Springer, 221--234.
2. Yoshua Bengio. 2000. Gradient-based optimization of hyperparameters. Neural computation 12, 8 (2000), 1889--1900.
3. James Bergstra, Rémi Bardenet, Yoshua Bengio, and Balázs Kégl. 2011. Algorithms for hyper-parameter optimization. Advances in neural information processing systems 24 (2011).
4. Random search for hyper-parameter optimization;Bergstra James;Journal of machine learning research,2012