DECO：方向证据引导的精确 DAG 学习搜索空间缩减

1. 12:00
   arXiv · Machine Learning Theory

   DECO：方向性证据引导的搜索空间缩减用于精确 DAG 学习

   提出非参数混合框架 DECO（Directional Evidence-guided Configuration Optimization），从观测数据提取依赖与方向性证据，在精确优化前构建可采纳父节点集，剔除经验上不支持的父节点配置，同时保留所有合理边方向。

Current heat 9·Comparable peak 10（Oct 8）·Comparable change over 24 hours –

The trend compares only the same participants observed continuously; its range may be smaller than the current heat count. Move or click on the chart to inspect hourly heat; use the left and right arrow keys to switch.