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News/Hierarchical and Permutation-Invariant Feature Transformation Learning via Policy-Guided Embedding Search
arxiv
PublishedSeptember 11, 2026 at 4:00 AM
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Hierarchical and Permutation-Invariant Feature Transformation Learning via Policy-Guided Embedding Search

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arXiv:2609.10225v1 Announce Type: cross Abstract: Feature transformation improves predictive performance on tabular data by constructing informative abstractions from raw features. Recent generative approaches encode transformation knowledge into continuous embedding spaces for efficient exploration

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