Probabilistic Soft Interventions in Conditional Gaussian Networks
By Florian Markowetz, Steffen Grossmann, Rainer Spang. 2005
43 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.
- Daniel Eaton
- Kevin P. Murphy
- Harvineet Singh
- Stephan Bongers
- Thijs van Ommen
- Florian Markowetz
- Rina Singh
- Rainer Spang
Citations in the corpus
- UvA-DARE (Digital Academic Repository) Methods for causal inference from gene perturbation experiments and validation (2016, unknown): “From [6], we conclude that with a larger amount of experimental settings (“more heterogeneity”) we have higher degree of identifiability of causal effects.”
- Fairness Violations and Mitigation under Covariate Shift (2019, methodology): “To generate target domains, we perform soft interventions [40] to shift distributions of A and T .”
- Joint Causal Inference from Multiple Contexts (2016, background): “The possible interventions are not limited to the perfect (“surgical”) interventions modeled by the dooperator of Pearl (2009), but can also be more general types of interventions that appear in practice, like mechanism changes (Tian and Pearl, 2001), soft interventions (Markowetz et al., 2005), fat”
- Causal Transfer Learning (2017, background): “[Tian and Pearl, 2001], soft interventions [Markowetz et al., 2005], fat-hand interventions [Eaton and Murphy, 2007], activity interventions [Mooij and Heskes, 2013], and stochastic versions of all these.”
- Belief net structure learning from uncertain interventions (2007, background): “One possible relaxation of this model is to assume that interventions are “soft”, and merely increase the probability the target will enter a specific state (Markowetz et al., 2005).”
- Exact Bayesian structure learning from uncertain interventions (2007, methodology): “3 [ MGR05 ] do not discuss how to set the pushing strength w i.”
- Ancestral Causal Inference (2016, unknown): “This approach conveniently applies to various types of interventions: perfect interventions [16], soft interventions [14], mechanism changes [24], and activity interventions [15].”
- Inferring cellular networks – a review (2007, background): “[112] introduced soft interventions as a generalization of ideal interventions.”