Proposes the first algorithm for optimal hypersurface decision trees with time complexity O(K! × N^{DG+G}) plus pruning and incremental checks that reduce practical cost.
Why do tree-based models still outperform deep learning on typical tabular data? Advances in Neural Information Processing Systems, 35: 0 507--520, 2022
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Optimal hypersurface decision trees
Proposes the first algorithm for optimal hypersurface decision trees with time complexity O(K! × N^{DG+G}) plus pruning and incremental checks that reduce practical cost.