SOURCE-LINKED INTELLIGENCE

I-FLOP: Fast Learning of Order and Parents from Interventional Data

arXiv · AI, language, vision and robotics · article · Aug 28, 2026 · UTC

We extend the FLOP (fast learning of order and parents) algorithm recently proposed by Wienöbst et al. (2026) from observational to interventional data. In particular, we use the interventional BIC score of Hauser and Bühlmann (2012), adapting it to be used with the iterative Cholesky-based score updates that are partly responsible for FLOP's speed. We show that, in the sample limit, I-FLOP recovers a DAG in the same interventional Markov equivalence class as the data-generating DAG. We compare I-FLOP to existing causal structure learning algorithms on real and simulated interventional data, w

Read original source ↗ Open in workspace

recordType

paper

region

Global