arXiv.org
  

  
    

Scalable Rule-Based Representation Learning for Interpretable Classification

  Rule-based models, e.g., decision trees, are widely used in scenarios
demanding high model interpretability for their transparent inner structures
and good model expressivity. However, rule-based models are hard to optimize,
especially on large data...


  

  
    
    
  

  


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