11 citations · 46 across the 22 of their papers we have counts for
5 papers · 1 filter
Interpretable Data-Based Explanations for Fairness Debugging
Romila Pradhan, Jiongli Zhu, Boris Glavic +1
A wide variety of fairness metrics and eXplainable Artificial Intelligence (XAI) approaches have been proposed in the literature to identify bias in machine learning models that ar…
Provenance-based Data Skipping (TechReport)
Xing Niu, Ziyu Liu, Pengyuan Li +1
Database systems analyze queries to determine upfront which data is needed for answering them and use indexes and other physical design techniques to speed-up access to that data.…
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs (extended version)
Chenjie Li, Zhengjie Miao, Qitian Zeng +2
In many data analysis applications, there is a need to explain why a surprising or interesting result was produced by a query. Previous approaches to explaining results have direct…
To not miss the forest for the trees -- a holistic approach for explaining missing answers over nested data (extended version)
Ralf Diestelkaemper, Seokki Lee, Melanie Herschel +1
Query-based explanations for missing answers identify which operators of a query are responsible for the failure to return a missing answer of interest. This type of explanations h…
Efficient Uncertainty Tracking for Complex Queries with Attribute-level Bounds (extended version)
Su Feng, Aaron Huber, Boris Glavic +1
Certain answers are a principled method for coping with the uncertainty that arises in many practical data management tasks. Unfortunately, this method is expensive and may exclude…