7 citations · 16 across the 5 of their papers we have counts for
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cs.LG2023★ 7 cited
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees
Bryan Andrews, Joseph Ramsey, Ruben Sanchez-Romero +2
Learning graphical conditional independence structures is an important machine learning problem and a cornerstone of causal discovery. However, the accuracy and execution time of l…
cs.LG2022★ 7 cited
Investigating the effect of binning on causal discovery
Andrew Colt Deckert, Erich Kummerfeld
Binning (a.k.a. discretization) of numerically continuous measurements is a wide-spread but controversial practice in data collection, analysis, and presentation. The consequences…