34 citations · 34 across the 7 of their papers we have counts for
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cs.LG2021
A Neural Tangent Kernel Perspective of Infinite Tree Ensembles
Ryuichi Kanoh, Mahito Sugiyama
In practical situations, the tree ensemble is one of the most popular models along with neural networks. A soft tree is a variant of a decision tree. Instead of using a greedy meth…
cs.LG2021
Interpretable Mixture Density Estimation by use of Differentiable Tree-module
Ryuichi Kanoh, Tomu Yanabe
In order to develop reliable services using machine learning, it is important to understand the uncertainty of the model outputs. Often the probability distribution that the predic…
cs.LG2021
Unintended Effects on Adaptive Learning Rate for Training Neural Network with Output Scale Change
Ryuichi Kanoh, Mahito Sugiyama
A multiplicative constant scaling factor is often applied to the model output to adjust the dynamics of neural network parameters. This has been used as one of the key intervention…