Causal Transfer Learning

By Sara Magliacane, Thijs van Ommen, Tom Claassen, Stephan Bongers, Philip Versteeg, Joris M. Mooij. 2017

17 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. Sacha Epskamp
2. Lourens J. Waldorp
3. Denny Borsboom
4. Eiko I. Fried
5. R. Mõttus
6. D. Hevey
7. Hudson F. Golino
8. Richard J. McNally

Citations in the corpus

• Conditional variance penalties and domain shift robustness (2017, background): “…advantage that the predictions will be valid even under arbitrarily large interventions on all predictor variables (Haavelmo, 1944; Aldrich, 1989; Pearl, 2009; Sch¨olkopf et al., 2012; Peters et al., 2016; Zhang et al., 2013, 2015; X. Yu, 2017; M. Rojas-Carulla, 2017; Magliacane et al., 2017).”
• The Gaussian Graphical Model in Cross-Sectional and Time-Series Data (2016, background): “All network structures may inspire experimental design, or to gather a mixture of observational and experimental data (Magliacane et al., 2017).”