Gradient boosting has been highly successful in machine-learning competitions for structured/tabular data since the introduction of XGBoost in 2014. Gradient boosting may be seen as a way of doing functional gradient descent to the supervised …
Gradient boosting has been highly successful in machine-learning competitions for structured/tabular data since the introduction of XGBoost in 2014. Gradient boosting may be seen as a way of doing functional gradient descent to the supervised …
In gradient tree boosting, the functional form of the ensemble repeatedly changes during training. To select a sensible functional complexity for the boosting ensemble, the leading implementations offer a high number of hyperparameters for …
Adaptive and automatic gradient boosting computations
At the next Bergen Machine Learning meetup I will lecture on some of my work with gradient boosting algorithms: by coupling information theory, the frequency domain and tree-boosting, the algorithm can adaptively learn the optimal structure of …
I lecture on some of my work with gradient boosting algorithms: by coupling information theory, the frequency domain and tree-boosting, the algorithm can adaptively learn the optimal structure of individual trees, and how many trees that should be …