Header logo is

A Differentially Private Kernel Two-Sample Test

2019

Conference Paper

ei


Author(s): Raj*, A. and Law*, L. and Sejdinovic*, D. and Park, M.
Book Title: Machine Learning and Knowledge Discovery in Databases (ECML/PKDD)
Volume: 119066
Pages: 697--724
Year: 2019
Month: September

Series: Lecture Notes in Computer Science
Editors: Brefeld, Ulf and Fromont, Elisa and Hotho, Andreas and Knobbe, Arno and Maathuis, Marloes and Robardet, C{\'e}line
Publisher: Springer International Publishing

Department(s): Empirical Inference
Research Project(s): Privacy
Bibtex Type: Conference Paper (conference)

DOI: 10.1007/978-3-030-46150-8_41
Event Place: Würzburg, Germany

Note: *equal contribution
State: Published

BibTex

@conference{RajLawSejPar19,
  title = {A Differentially Private Kernel Two-Sample Test},
  author = {Raj*, A. and Law*, L. and Sejdinovic*, D. and Park, M.},
  booktitle = {Machine Learning and Knowledge Discovery in Databases (ECML/PKDD)},
  volume = {119066},
  pages = {697--724},
  series = {Lecture Notes in Computer Science},
  editors = {Brefeld, Ulf and Fromont, Elisa and Hotho, Andreas and Knobbe, Arno and Maathuis, Marloes and Robardet, C{\'e}line},
  publisher = {Springer International Publishing},
  month = sep,
  year = {2019},
  note = {*equal contribution},
  doi = {10.1007/978-3-030-46150-8_41},
  month_numeric = {9}
}