Posts

  • Dec 3, 2021 ‐ Stefan’s paper on Data Distribution Debugging in Machine Learning Pipelines was accepted for the VLDB Journal Special Issue on Data Science for Responsible Data Management! This work is part of our ongoing collaboration with Julia Stoyanovich from NYU..
  • Nov 24, 2021 ‐ Stefan, Barrie, Olivier and Shubha have two abstracts accepted at the Dutch-Belgian Database Day. We will present our recent work on screening ML pipelines and building low-latency recommender systems.
  • Nov 18, 2021 ‐ My student Stefan and me gave a talk on Data Provenance as the Foundation for Data Governance at the virtual Data Centric AI workshop organised by Stanford and ETH Zuerich.
  • Nov 17, 2021 ‐ Our student Mozhdeh published a post about her research on ‘Understanding customer behavior in multi-channel retail’ on Albert Heijn’s tech blog.
  • Nov 4, 2021 ‐ Barrie Kersbergen and me were interviewed by bol.com’s techlab podcast this week. We discussed our recent work on rebuilding a production recommendation system for bol.com, as well as the collaboration between bol.com and the University of Amsterdam.
  • Oct 22, 2021 ‐ A proposal by Iacer Calixto and me for an interdisciplinary PhD position at the intersection of mental health research, responsible data management and natural language processing will be funded by the Data Science Centre of the University of Amsterdam.
  • Oct 21, 2021 ‐ Our abstract on Screening Native Machine Learning Pipelines with ArgusEyes will be presented at CIDR’22. This is joint work with Ce Zhang from ETH Z├╝rich.
  • Oct 11, 2021 ‐ Our work on Understanding and Mitigating the Effect of Outliers in Fair Ranking led by Arezoo Sarvi will be presented at WSDM’22.
  • Oct 7, 2021 ‐ Benjamin has been presenting our work on machine unlearning for next-basket recommendations at the workshop on Online Recommender Systems at RecSys’21.
  • Aug 18, 2021 ‐ I have been a participant in the roundtable discussion on Systems for ML at VLDB’21.