David Maxwell Chickering

Author

Microsoft (United States)

Also Known As

Chickering, David, Chickering, David M., Chickering, David Maxwell, David Maxwell Chickering

Publications

3.8K

Citations

H-Index

Concepts

All Affiliations

Microsoft (United States)University of California, Los Angeles Microsoft Research (United Kingdom)University of Washington Cornell University

About

David Maxwell Chickering is an author at Microsoft (United States) specializing in engineering, computer science, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	15	883
2	Business	4	4	412
3	Arts	2	2	197
4	Education	1	1	11
5	Health Sciences	1	1	44

David Maxwell Chickering

Publications

2.6K

Citations

H-Index

Page 1

	Year	Citations
A Bayesian Approach to Learning Bayesian Networks with Local Structure David Maxwell Chickering, David Heckerman, Christopher Meek arXiv (Cornell University)	2013	326
Learning equivalence classes of Bayesian network structures David Maxwell Chickering	1996	303
A Transformational Characterization of Equivalent Bayesian Network Structures David Maxwell Chickering arXiv (Cornell University) Bayesian StatisticEngineeringNetwork AnalysisCausal InferenceBayesian Network Structures	2013	300
Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables David Maxwell Chickering, David Heckerman Machine Learning	1997	294
Large-Sample Learning of Bayesian Networks is NP-Hard David Maxwell Chickering, Christopher Meek, David Heckerman arXiv (Cornell University)	2012	154
Here or there: preference judgments for relevance Ben Carterette, Paul N. Bennett, David Maxwell Chickering, Preference JudgmentsCognitive ScienceInformation RetrievalBehavioral Decision MakingPreference Learning	2008	154
Using Temporal Data for Making Recommendations Andrew Zimdars, David Maxwell Chickering, Christopher Meek arXiv (Cornell University) EngineeringMachine LearningTemporal DatabasesInformation RetrievalData Science	2013	123
A Bayesian Approach to Tackling Hard Computational Problems Eric Horvitz, Yongshao Ruan, Carla P. Gomes, arXiv (Cornell University) Artificial IntelligenceEngineeringComputational ComplexityProbabilistic ComputationOperations Research	2013	115
Finding Optimal Bayesian Networks David Maxwell Chickering, Christopher Meek arXiv (Cornell University)	2012	112
Machine Teaching: A New Paradigm for Building Machine Learning Systems Patrice Y. Simard, Saleema Amershi, David Maxwell Chickering, arXiv (Cornell University) Artificial IntelligenceMachine TeachingInteractive Machine LearningMachine LearningData Science	2017	76

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