| 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 | 60 | 2013 |
| Reasoning about independence in probabilistic models of relational data M Maier, K Marazopoulou, D Jensen arXiv preprint arXiv:1302.4381, 2013 | 41 | 2013 |
| Causal discovery for manufacturing domains K Marazopoulou, R Ghosh, P Lade, D Jensen arXiv preprint arXiv:1605.04056, 2016 | 31 | 2016 |
| Learning the Structure of Causal Models with Relational and Temporal Dependence. K Marazopoulou, ME Maier, DD Jensen UAI, 572-581, 2015 | 31 | 2015 |
| Propensity Score Matching for Causal Inference with Relational Data. DT Arbour, K Marazopoulou, D Garant, DD Jensen CI@ UAI, 25-34, 2014 | 12 | 2014 |
| Inferring Causal Direction from Relational Data. DT Arbour, K Marazopoulou, DD Jensen UAI, 2016 | 7 | 2016 |
| 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 | 4 | 2013 |
| On causal analysis for heterogeneous networks K Marazopoulou, D Arbour, D Jensen KDD Workshop on Causal Discovery. http://nugget. unisa. edu. au/CD2017 …, 2017 | 2 | 2017 |
| Temporal and Relational Models for Causality: Representation and Learning K Marazopoulou | 2 | 2017 |
| Refining the semantics of social influence K Marazopoulou, D Arbour, D Jensen arXiv preprint arXiv:1412.5238, 2014 | 2 | 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 | | |
David JensenProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
