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Instrumentation and Analysis of Native ML Pipelines via Logical Query Plans

Machine Learning (ML) is increasingly used to automate impactful decisions, which leads to concerns regarding their correctness, reliability, and fairness. We envision highly-automated software platforms to assist data scientists with developing, …

Towards Declarative Systems for Data-Centric Machine Learning

We argue for a declarative approach to simplify the application of data-centric ML in real-world scenarios, and present our prototypical system MLWHATIF, which takes a first step in this direction.