Posts

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 Zürich.

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.

Aug 9, 2021 ‐ Our work on Understanding Multi-channel Customer Behavior in Retail led by Mozhdeh Ariannezhad will be presented at CIKM’21.

Jun 30, 2021 ‐ I have been invited to chair the industry and applications track at EDBT 2022 together with Fatma Ozcan.

Jun 21, 2021 ‐ Congratulations to Benjamin Longxiang Wang for winning our bol.com Unwanted Product Detection Challenge 2021 with a test set accuracy of 88.6%!.

Jun 21, 2021 ‐ Two papers on DuckDQ: Data Quality Assertions for Machine Learning Pipelines and Towards Efficient Machine Unlearning via Incremental View Maintenance accepted at the workshop on Challenges in Deploying and Monitoring ML Systems at ICML’21.

Jun 21, 2021 ‐ My students Barrie Kersbergen, Olivier Sprangers and me have built a new recommendation system for the product detail pages of bol.com. It’s written in Rust, it’s super fast, and it is in production since today!.

Jun 15, 2021 ‐ We will present our lab and its ongoing research at the ICAI lunch meetup on Data Management for Machine Learning on Thursday the 17th of June.