Frederick Eberhardt
causal & statistical inference |
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Eberhardt, F. (in press). Causal Discovery as a Game. In Journal of Machine Learning, Workshop Proceedings (NIPS 2008 causality workshop). |
[pre-print] |
Eberhardt, F. (in press). Introduction to Causal Epistemology. In The Philosophy Compass. |
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Eberhardt, F. (2008). Almost Optimal Intervention Sets for Causal Discovery. In Proceedings of 24th Conference in Uncertainty in Artificial Intelligence (UAI), 161-168. |
[pdf] |
Eberhardt, F. (2008). A Sufficient Condition for Pooling Data. In Synthese, special issue, 163 (3): 433-442, Springer. |
[link] [pre-print] |
Eberhardt, F. (2007). Causation and Intervention (Ph.D. Thesis). Carnegie Mellon University. |
[pdf] |
Eberhardt, F. & Scheines, R. (2007). Interventions and Causal Inference. In Philosophy of Science, 74: 981-995. |
[link] [pre-print] |
Eberhardt, F., Glymour, C. & Scheines, R. (2006), N-1 Experiments Suffice to Determine the Causal Relations Among N Variables. In D. Holmes and L. Jain (eds.) Innovations in Machine Learning, Theory and Applications Series: Studies in Fuzziness and Soft Computing, Vol. 194, Springer-Verlag. See also Technical Report CMU-PHIL-161 (2005). |
[link] [pre-print] |
Eberhardt, F., Glymour, C. & Scheines, R. (2005). On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables. In F. Bacchus and T. Jaakkola (eds.), Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence (UAI), AUAI Press: 178-184. |
[bibtex] [pdf] |
human learning |
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Danks, D. & Eberhardt, F. (2009). Explaining Norms and Norms Explained [Commentary on precis of Bayesian Rationality by Oaksford & Chater]. In Behavioral and Brain Sciences, 32: 86-87. |
[link] [pre-print] |
Danks, D. & Eberhardt, F. (2009). Conceptual Problems in Statistics, Testing and Experimentation. In J. Symons & F. Calvo (eds.) Routledge Companion to the Philosophy of Psychology, Routledge. |
[link] |
Hans Reichenbach |
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Eberhardt, F. (in press). Reliability via Synthetic A Priori - Reichenbach's Doctoral Thesis on Probability. In Synthese, Springer. |
[pre-print] |
Eberhardt, F. & Glymour, C. (in press). Hans Reichenbach's Probability Logic. In D. M. Gabbay, J. Woods & S. Hartmann (eds.), Handbook of the History of Logic, Vol. 10, Elsevier. |
[link] |
Glymour, C. & Eberhardt, F. (2008). Hans Reichenbach. Entry in Stanford Encyclopaedia of Philosophy. |
[link] |
Eberhardt, F. & Glymour, C. (2008). The Concept of Probability in the Mathematical Representation of Reality. Translation of Hans Reichenbach's doctoral thesis, Open Court. |
[link] [more] |
general machine learning / data mining |
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Bryan, B., Eberhardt, F. & Faloutsos, C. (2008). Compact Similarity Joins. In Proceedings of 24th International Conference on Data Engineering (ICDE), IEEE: 346-355. |
[link] [pre-print] |
Autexier, S., Eberhardt, F., Hutter, D., Kohlhase, M. & Angelhache, R. (2003). Distributed Knowledge Management and Version Control. In Information Society Technologies Programme, Report n. D5.a |
[pdf] |
none of the above |
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Glymour, C., Danks, D., Eberhardt, F., Glymour, B., Ramsey, J., Scheines, R., Spirtes, P., Teng, C. & Zhang, J. (2009). Actual Causation: A Stone Soup Essay. In Synthese. |
[pre-print] [link] |
drafts and submissions |
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Eberhardt, F. & Scheines, R.: Causal Path Computation |
[pdf] |
Eberhardt, F. & Danks, D.: Commitments and Specificity in Bayesian Models |
[pdf] |
Picture: Maple Leaves, Kyoto, Japan, November 2007