Do-calculus when the True Graph Is Unknown

By Antti Hyttinen, Frederick Eberhardt, Matti Järvisalo. 2015

66 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, background): “Hyttinen et al. [2015] also assume perfect interventions with known targets but do not rely on complete knowledge of the causal graph, instead inferring the relevant aspects of it from the data.”
• Inverse statistical problems: from the inverse Ising problem to data science (2017, background): “It can also be combined with the inference of causal structures in data [94].”
• Causal Transfer Learning (2017, background): “Hyttinen et al. [2015] also assume perfect interventions with known targets but do not rely on complete knowledge of the causal graph, and rather infer the relevant aspects of it from the data.”