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Katerina Marazopoulou
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A sound and complete algorithm for learning causal models from relational data
M Maier, K Marazopoulou, D Arbour, D Jensen
arXiv preprint arXiv:1309.6843, 2013
512013
Reasoning about independence in probabilistic models of relational data
M Maier, K Marazopoulou, D Jensen
arXiv preprint arXiv:1302.4381, 2013
352013
Learning the Structure of Causal Models with Relational and Temporal Dependence.
K Marazopoulou, ME Maier, DD Jensen
ACI@ UAI, 66-75, 2015
242015
Causal discovery for manufacturing domains
K Marazopoulou, R Ghosh, P Lade, D Jensen
arXiv preprint arXiv:1605.04056, 2016
132016
Inferring Causal Direction from Relational Data.
DT Arbour, K Marazopoulou, DD Jensen
UAI, 2016
72016
Propensity Score Matching for Causal Inference with Relational Data.
DT Arbour, K Marazopoulou, D Garant, DD Jensen
CI@ UAI, 25-34, 2014
62014
Flattening network data for causal discovery: What could go wrong?
M Maier, K Marazopoulou, D Arbour, D Jensen
Workshop on Information in Networks 64, 2013
42013
On causal analysis for heterogeneous networks
K Marazopoulou, D Arbour, D Jensen
KDD Workshop on Causal Discovery. http://nugget. unisa. edu. au/CD2017 …, 2017
22017
Temporal and Relational Models for Causality: Representation and Learning
K Marazopoulou
22017
Refining the semantics of social influence
K Marazopoulou, D Arbour, D Jensen
arXiv preprint arXiv:1412.5238, 2014
22014
Reasoning about Independence in Probabilistic Models of Relational Data (Author's Manuscript)
M Maier, K Marazopoulou, D Jensen
University of Massachusetts, Amherst Amherst United States, 2014
2014
Look Both Ways: Dependence and Direction in Relational Data
D Arbour, K Marazopoulou, D Jensen
Non-intuitive conditional independence facts hold in models of network data
M Maier, K Marazopoulou, D Jensen
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Articles 1–13