| Reframed GES with a neural conditional dependence measure. | 0 | 0.34 | 2022 |
| Ancestral Instrument Method for Causal Inference without Complete Knowledge | 0 | 0.34 | 2022 |
| Causal Discovery from Heterogeneous/Nonstationary Data. | 0 | 0.34 | 2019 |
| A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams. | 0 | 0.34 | 2018 |
| How to Tackle an Extremely Hard Learning Problem: Learning Causal Structures from Non-Experimental Data without the Faithfulness Assumption or the Like. | 0 | 0.34 | 2018 |
| A Peculiarity in Pearl's Logic of Interventionist Counterfactuals. | 1 | 0.36 | 2013 |
| Strong faithfulness and uniform consistency in causal inference | 18 | 3.27 | 2012 |
| Discussion of "Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables". | 0 | 0.34 | 2011 |
| Discussion of "Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables" | 0 | 0.34 | 2011 |
| Intervention, determinism, and the causal minimality condition. | 4 | 0.63 | 2011 |
| Actual causation: a stone soup essay | 6 | 1.17 | 2010 |
| Causal Reasoning with Ancestral Graphs | 23 | 1.61 | 2008 |
| Generalized Do-Calculus with Testable Causal Assumptions | 0 | 0.34 | 2007 |
| Generalized Do-Calculus with Testable Causal Assumptions | 0 | 0.34 | 2007 |
| A Characterization of Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables | 0 | 0.34 | 2007 |
| Adjacency-Faithfulness and Conservative Causal Inference | 54 | 3.38 | 2006 |
| Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables | 9 | 0.97 | 2005 |
| A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables | 4 | 0.60 | 2005 |
| Probabilistic workflow mining | 30 | 2.16 | 2005 |
