The ECML-PKDD Conference is the leading event in Europe for machine learning and the principles and practice of knowledge discovery in databases. This year’s conference will take place from 16 to 20 September 2019 in Würzburg, Germany. Taking inspiration from 17 years of highly successful conferences throughout Europe, it offers participants a varied program. Forums, discussions, workshops, tutorials and keynotes will be facilitated by experts in their field. Researchers and PhD students from the Télécom Paris DSAIDIS Chair submitted articles in order to contribute their work, two of which have been accepted. They will be presenting the following research projects at the conference :

« Safe Policy Improvement with Soft Baseline Bootstrapping »

  • Kimia Nadjahi (Télécom Paris)
  • Romain Laroche (Microsoft Research Montréal)
  • Rémi Tachet des Combes (Microsoft Research Montréal)

« Trade-offs in Large-Scale Distributed Tuplewise Estimation and Learning »

  • Robin Vogel (Télécom Paris, IDEMIA)
  • Aurélien Bellet (INRIA)
  • Stephan Clémençon (Télécom Paris)
  • Ons Jelassi (Télécom Paris)
  • Guillaume Papa (Télécom Paris)