Recent Publications

More Publications

. Database Repair Meets Algorithmic Fairness. SIGMOD record, 2020.

Project

. Causal Relational Learning. ACM SIGMOD, 2020.

Preprint Project

. Mining Approximate Acyclic Schemes from Relations. ACM SIGMOD, 2020.

Preprint

. Data Management for Causal Algorithmic Fairness. IEEE Data Engineering Bulletin, 2019.

Preprint Project

. Interventional Fairness: Causal Database Repair for Algorithmic Fairness. ACM SIGMOD, 2019.

Preprint PDF Project

. MobilityMirror: Bias-Adjusted Synthetic Transportation Datasets.. 2018.

Project

. HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries.. VLDB, 2018.

PDF Project

Projects

Capuchin

Capuchin develops a suit of techniques to enforce algorithmic fairness using causal inference and database dependencies.

HypDB

HypDB is a system to detect, explain, and to resolve bias in decision-support queries.

ZaliQL

Causal Inference at Scale

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