publications

Frederick Eberhardt

causal & statistical inference

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.

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

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

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

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

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

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