James Bailie
Scholar

James Bailie

Google Scholar ID: YJA2cJEAAAAJ
Postdoc, Chalmers University
StatisticsData PrivacySocial ScienceInference FoundationsLearning Theory
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Citations & Impact
All-time
Citations
74
 
H-index
5
 
i10-index
1
 
Publications
20
 
Co-authors
9
list available
Contact
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Publications
8 items
Performative Learning Theory
2026
Cited
0
Persuasive Privacy
2026
Cited
0
The Five Safes as a Privacy Context
2025
Cited
0
Why Data Anonymization Has Not Taken Off
2025
Cited
0
Property Elicitation on Imprecise Probabilities
2025
Cited
0
Generalization Bounds and Stopping Rules for Learning with Self-Selected Data
2025
Cited
0
A Refreshment Stirred, Not Shaken (III): Can Swapping Be Differentially Private?
2025
Cited
0
A Refreshment Stirred, Not Shaken (II): Invariant-Preserving Deployments of Differential Privacy for the US Decennial Census
2025
Cited
0
Resume (English only)
Co-authors
9 total
Xiao-Li Meng
Xiao-Li Meng
Harvard University
Co-author 2
Co-author 2
Joerg Drechsler
Joerg Drechsler
Institut für Arbeitsmarkt- und Berufsforschung, University of Maryland
Adel Daoud
Adel Daoud
Institute for Analytical Sociology, Linköping University, Division for Data Science and AI, Chalmers
Mohammad Kakooei
Mohammad Kakooei
Postdoctoral Research Scientist, Chalmers University of Technology
Matthew J. Schneider
Matthew J. Schneider
Drexel University
Dawn Iacobucci
Dawn Iacobucci
Vanderbilt University
Julian Rodemann
Julian Rodemann
CISPA Helmholtz Center for Information Security / Department of Statistics, LMU Munich