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Akionux (akionux@status.akionux.net)'s status on Tuesday, 09-Mar-2021 18:23:19 JST Akionux

[2002.07971] Gradient Boosting Neural Networks: GrowNet - https://arxiv.org/abs/2002.07971
In conversation Tuesday, 09-Mar-2021 18:23:19 JST from status.akionux.net permalink
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1. Gradient Boosting Neural Networks: GrowNet
  
  A novel gradient boosting framework is proposed where shallow neural networks are employed as ``weak learners''. General loss functions are considered under this unified framework with specific examples presented for classification, regression, and learning to rank. A fully corrective step is incorporated to remedy the pitfall of greedy function approximation of classic gradient boosting decision tree. The proposed model rendered outperforming results against state-of-the-art boosting methods in all three tasks on multiple datasets. An ablation study is performed to shed light on the effect of each model components and model hyperparameters.

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