Transportability from Multiple Environments with Limited Experiments: Completeness Results

By Elias Bareinboim, Judea Pearl. 2014

125 citations recorded by the source corpus.

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In Causal Inference & Discovery

Citations in the corpus

Toward Causal Representation Learning (2021, background): “…[114], [115], [152], [153], [156], [167], [195], [204], [243], [263], [267], [277], [278], [281], complementing the studies of Bareinboim and Pearl [14], [185], and it inspired a thread of work in the statistics community exploiting invariance for causal discovery and other tasks [105], [106],…”
Towards Causal Representation Learning (2021, background): “It also led to a range of follow-up work [279, 266, 280, 77, 114, 281, 32, 96, 263, 243, 195, 152, 156, 153, 167, 204, 115], complementing the studies of Bareinboim and Pearl [12, 185], and it inspired a thread of work in the statistics community exploiting invariance for causal discovery and other ”
Causality for Machine Learning (2019, positive): “My understanding of causality has been shaped by Judea Pearl and a number of collaborators and colleagues, and much of it went into a book written with Dominik Janzing and Jonas Peters (Peters et al., 2017).”
Adjustment Criteria for Generalizing Experimental Findings (2019, background): “Definition 1 (Selection Diagram (Bareinboim and Pearl, 2014)).”
Machine learning–enabled high-entropy alloy discovery (2022, background): “GM has emerged as one of the best models for learning the latent representation of the data Ghahramani et al. (2014)Goodfellow et al. (2014).”
A Review of Generalizability and Transportability (2021, methodology): “…and Bareinboim, 2014; Pearl, 2015), observational studies (Pearl and Bareinboim, 2011; Pearl, 2015; Bareinboim and Tian, 2015; Bareinboim and Pearl, 2016; Correa and Bareinboim, 2017; Correa, Tian and Bareinboim, 2018), and a combination of heterogeneous studies (Bareinboim and Pearl, 2014, 2016).”
Causal inference and the data-fusion problem (2016, background): “Remarkably, a consistent estimator can be constructed from multiple sources with a limited experiment even in cases where it is not constructable from any subset of sources considered separately (54).”
Understanding and misunderstanding randomized controlled trials (2016, unknown): “Pearl and Bareinboim (2011, 2014) and Bareinboim and Pearl (2013, 2014) provide strategies for inferring information about new populations from trial results that are more general than reweighting.”