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

Recent Publications

. 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

. Bias in OLAP Queries: Detection, Explanation, and Removal. ACM SIGMOD, 2018.

Preprint PDF Project

. ZaliQL: causal inference from observational data at scale. VLDB, 2017.

PDF Code Project

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