Learning Optimal Causal Graphs with Exact Search

By Kari Rantanen, Antti Hyttinen, Matti Järvisalo. 2018

10 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Sara Magliacane
2. Joris M. Mooij
3. Stephan Bongers
4. Tom Claassen
5. Thijs van Ommen
6. Bernhard Schölkopf
7. Jan Peters
8. Philip Versteeg

Citations in the corpus

• Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions (2017, methodology): “Currently, our approach can handle about seven variables on a laptop computer, and with recent advances in exact causal discovery algorithms [e.g., Rantanen et al., 2018], a few more variables would be feasible.”
• Causal Transfer Learning (2017, methodology): “on side, for example, scaling up to more variables. Currently, our approach can handle about seven variables on a laptop computer, and with recent advances in exact causal discovery algorithms (e.g., Rantanen et al., 2018), a few more variables would be feasible. For scaling up to dozens of variable”