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Publications & Outputs

  1. A Bayesian Nonparametric Approach to Differentially Private Data

    Battiston, M., Ayed, F. & Di Benedetto, G., 16/09/2020, Privacy in Statistical Databases: UNESCO Chair in Data Privacy, International Conference, PSD 2020, Proceedings. Domingo-Ferrer, J. & Muralidhar, K. (eds.). Springer, p. 32-48 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12276 LNCS).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  2. Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis

    Böhmer, W., Grunewalder, S., Nickisch, H. & Obermayer, K., 10/2012, In: Machine Learning. 89, 1, p. 67-86 20 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review