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Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel
This kernel leads to the remarkable finding that only the number of leaves at each depth is relevant for the tree architecture in ensemble learning with an infinite number of trees.
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
In practical situations, the tree ensemble is one of the most popular models along with neural networks.
Interpretable Mixture Density Estimation by use of Differentiable Tree-module
In order to develop reliable services using machine learning, it is important to understand the uncertainty of the model outputs.
Unintended Effects on Adaptive Learning Rate for Training Neural Network with Output Scale Change
A multiplicative constant scaling factor is often applied to the model output to adjust the dynamics of neural network parameters.
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