| 2012 | ||
|---|---|---|
| c5 | Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer: Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables. UAI 2012: 387-396 | |
| i4 | Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer: Noisy-OR Models with Latent Confounding. CoRR abs/1202.3735 (2012) | |
| i3 | Frederick Eberhardt: Almost Optimal Intervention Sets for Causal Discovery. CoRR abs/1206.3250 (2012) | |
| i2 | Frederick Eberhardt, Clark Glymour, Richard Scheines: On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables. CoRR abs/1207.1389 (2012) | |
| i1 | Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer: Causal Discovery of Linear Cyclic Models from Multiple Experimental Data Sets with Overlapping Variables. CoRR abs/1210.4879 (2012) | |
| 2011 | ||
| j6 | Frederick Eberhardt, David Danks: Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models. Minds and Machines 21(3): 389-410 (2011) | |
| j5 | Frederick Eberhardt: Reliability via synthetic a priori: Reichenbach's doctoral thesis on probability. Synthese 181(1): 125-136 (2011) | |
| c4 | Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer: Noisy-OR Models with Latent Confounding. UAI 2011: 363-372 | |
| 2010 | ||
| j4 | Frederick Eberhardt: Causal Discovery as a Game. Journal of Machine Learning Research - Proceedings Track 6: 87-96 (2010) | |
| j3 | Frederick Eberhardt, Patrik O. Hoyer, Richard Scheines: Combining Experiments to Discover Linear Cyclic Models with Latent Variables. Journal of Machine Learning Research - Proceedings Track 9: 185-192 (2010) | |
| j2 | Clark Glymour, David Danks, Bruce Glymour, Frederick Eberhardt, Joseph Ramsey, Richard Scheines, Peter Spirtes, Choh Man Teng, Jiji Zhang: Actual causation: a stone soup essay. Synthese 175(2): 169-192 (2010) | |
| 2008 | ||
| j1 | ||
| c3 | ||
| c2 | ||
| 2005 | ||
| c1 | Frederick Eberhardt, Clark Glymour, Richard Scheines: On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables. UAI 2005: 178-184 | |
Colors in the list of coauthors
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