Decision Tree

Differentiable Decision Tree via ``ReLU+Argmin'' Reformulation
Decision tree, despite its unmatched interpretability and lightweight structure, faces two key issues: non-differentiability and low …
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A scalable deterministic global optimization algorithm for training optimal decision tree
The training of optimal decision tree via mixed-integer programming (MIP) has attracted much attention in recent literature. However, …
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