Posts

Jun 10, 2021 ‐ I have been interviewed by the Innovation Center for Artificial Intelligence on the role of data management for machine learning.

Jun 1, 2021 ‐ I will give the adademic keynote on “Connecting ML Applications to Real World Data” at the workshop on Data Management for End-to-End Machine Learning (DEEM) in conjunction with SIGMOD 2021.

May 28, 2021 ‐ We will present a paper on probabilistic gradient boosting machines for large-scale probabilistic regression at KDD 2021.

May 20, 2021 ‐ We will present a paper on maintaining randomised trees for low-latency machine unlearning and a demo on a data distribution debugger for machine learning pipelines at SIGMOD 2021.

Apr 18, 2021 ‐ Barrie will present our work on learnings from a real world recommender system at one of Europe’s largest e-commerce platforms at ICDE 2021.

Mar 30, 2021 ‐ I have been the editor for the special issue on “Data validation for machine learning models and applications” of the IEEE Data Engineering Bulletin.

Mar 1, 2021 ‐ I will serve as an Associate Editor for the Scalable Data Science track of PVLDB Volume 15.

Feb 1, 2021 ‐ Stefan Grafberger and Barrie Kersbergen joined our lab as Ph.D. students to work on data validation for ML pipelines and scalable recommender systems!.

Jan 15, 2021 ‐ We presented our work on Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines at CIDR. Checkout the video of our talk and our example notebook!.

Dec 11, 2020 ‐ Stefan, Mozhdeh, Arezoo and Barrie presented some of our recent work at the Dutch-Belgian Database Day, and the Dutch-Belgian Information Retrieval Workshop.