Frederick Eberhardt - Concepedia

Author

Frederick Eberhardt

California Institute of Technology

Also Known As

Daniel Tranel, Eberhardt, Frederick, F Eberhardt, Frederick Eberhardt, Poldrack, Russell

Publications

1.6K

Citations

H-Index

Concepts

All Affiliations

California Institute of Technology Carnegie Mellon University Helsinki Institute for Information Technology University of Helsinki Washington University in St. Louis

About

Frederick Eberhardt is an author at California Institute of Technology specializing in causal reasoning, causal inference, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	17	771
2	Public Health	12	12	732
3	Management	4	4	146
4	Social Sciences	3	3	111
5	Business	2	2	72

Frederick Eberhardt

Publications

1.2K

Citations

H-Index

Page 1

	Year	Citations
Interventions and Causal Inference Frederick Eberhardt, Richard Scheines Philosophy of Science ReasoningRandomized InterventionBehavioral SciencesOptimal InterventionEngineering	2007	231
Learning linear cyclic causal models with latent variables Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer Journal of Machine Learning Research EngineeringNetwork AnalysisCausal Relation ExtractionCausal InferenceData Science	2012	94
Introduction to the foundations of causal discovery Frederick Eberhardt International Journal of Data Science and Analytics Knowledge DiscoveryManagementStatistical InferenceCausalityPublic Health	2016	92
On the number of experiments sufficient and in the worst case necessary to identify all causal relations among N variables Frederick Eberhardt, Clark Glymour, Richard Scheines CaltechAUTHORS (California Institute of Technology)	2005	76
Causal feature learning: an overview Krzysztof Chalupka, Frederick Eberhardt, Pietro Perona Behaviormetrika EngineeringMachine LearningData ScienceData MiningPattern Recognition	2016	69
Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI) Zhalama Zhalama, Jiji Zhang, Frederick Eberhardt, Artificial IntelligenceUncertainty (Quantum Physics)Uncertainty ManagementEngineeringUncertainty Quantification	2017	65
Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models Frederick Eberhardt, David Danks Minds and Machines Bayesian StatisticCognitionSocial SciencesBayesian InferencePsychology	2011	64
Constraint-based causal discovery: conflict resolution with answer set programming Antti Hyttinen, Frederick Eberhardt, Matti Järvisalo	2014	59
Experiment selection for causal discovery Antti Hyttinen, Frederick Eberhardt, Patrik O. Hoyer Journal of Machine Learning Research EngineeringCausal RelationshipsField ExperimentOptimal Experimental DesignCausal Inference	2013	57
Visual Causal Feature Learning Krzysztof Chalupka, Pietro Perona, Frederick Eberhardt arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningCausal Relation ExtractionCausal Inference	2014	48

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