Posts

Nov 15, 2020 ‐ Our work on scalable data validation has been integrated into the new Amazon SageMaker Model Monitor service for concept drift detection. Here is the announcement at the AWS Reinvent conference:

.

Sep 25, 2020 ‐ I gave the keynote at the workshop on Online Recommender Systems at ACM RecSys, check out the recording.

Sep 4, 2020 ‐ Julia Stoyanovich mentioned our work on the FairPrep framework in her keynote at VLDB 2020.

Jun 25, 2020 ‐ I gave a talk on Unit Tests for Data with Deequ at the database group of CWI, checkout the video recording.

Jun 20, 2020 ‐ We presented a paper on Learning to Validate the Predictions of Black Box Classifiers on Unseen Data, an industry paper on Elastic Machine Learning Algorithms in Amazon SageMaker at SIGMOD’20, as well as initial ideas on the Fairness-Aware Instrumentation of Preprocessing Pipelines for Machine Learning in the Human-in-the-Loop-Data-Analytics workshop.

Jun 14, 2020 ‐ We ran the 4th edition of the Workshop on Data Management for End-to-End Machine Learning (DEEM) with more than 120 attendees via Zoom this year. Checkout the videos of the presentations and invited talks on our website.

Jun 1, 2020 ‐ Our paper summarizing the Apache Mahout project called Apache Mahout: Machine Learning on Distributed Dataflow Systems has been accepted to the open source track of JMLR.

Apr 2, 2020 ‐ We presented a short paper on FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions and a full paper on Zooming Out on an Evolving Graph at EDBT’20.

Jan 15, 2020 ‐ We presented our work on “Amnesia” - A Selection of Machine Learning Models That Can Forget User Data Very Fast at CIDR’20.

Nov 1, 2019 ‐ Our paper on Datawig: Missing Value Imputation for Tables has been accepted at the open source track of the Journal of Machine Learning Research (JMLR).