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News/Learning Sparse Decision Trees via Transformer Variational Auto-Encoders
arxiv
PublishedSeptember 2, 2026 at 4:00 AM

Learning Sparse Decision Trees via Transformer Variational Auto-Encoders

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arXiv:2609.01430v1 Announce Type: cross Abstract: Decision trees are among the most widely used models in machine learning, largely due to their transparent decision logic, making them well-suited for high-stakes decision-making contexts. However, most existing learning algorithms focus on predictiv

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