No photo of Tejas Kulkarni

Tejas Kulkarni

20192022

Research activity per year

If you made any changes in Pure these will be visible here soon.
Filter
Conference contribution

Search results

  • 2021

    Differentially Private Bayesian Inference for Generalized Linear Models

    Kulkarni, T., Jälkö, J., Koskela, A., Kaski, S. & Honkela, A., 2021, Proceedings of the 38th International Conference on Machine Learning. Meila, M. & Zhang, T. (eds.). p. 5838-5849 12 p. (Proceedings of Machine Learning Research ; vol. 139).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    8 Downloads (Pure)
  • 2020

    Private Protocols for U-Statistics in the Local Model and Beyond

    Bell, J., Bellet, A., Gascon, A. & Kulkarni, T., 2020, INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 108. Chiappa, S. & Calandra, R. (eds.). ADDISON-WESLEY, p. 1573-1582 10 p. (Proceedings of Machine Learning Research; vol. 108).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    Open Access
    File
    8 Downloads (Pure)
Your message has successfully been sent.
Your message was not sent due to an error.