Publications

2023

  • Sudeepa Roy, Babak Salimi
    Causal inference in data analysis with applications to fairness and explanations . Reasoning Web. Causality, Explanations and Declarative Knowledge: 18th International Summer School 2022 (Invited Tutorial).
    Paper PDF

  • Brit Youngmann, Michael Cafarella, Yuval Moskovitch, Babak Salimi.
    NEXUS: On Explaining Confounding Bias . SIGMOD 2023.
    Paper PDF

  • Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi.
    Consistent Range Approximation for Fair Predictive Modeling.VLDB 2023.
    Paper PDF

  • Brit Youngmann, Michael Cafarella, Babak Salimi, Anna Zeng.
    Causal Data Integration. VLDB 2023.
    Paper PDF

  • Brit Youngmann, Michael Cafarella, Babak Salimi, Yuval Moskovitch.
    On Explaining Confounding Bias. ICDE 2023.
    TechReport

  • Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi.
    Causal What-If and How-To Analysis Using Hyper. ICDE 2023.

2022

  • Aditya Lahiri, Kamran Alipour, Ehsan Adeloi, Babak Salimi.
    Combining Counterfactuals With Shapley Values To Explain Image Models. ICML 2022 workshop on responsible decision making in dynamic environments.
    Paper PDF

  • Sainyam Galhotra, Amir Gilad, Sudeepa Roy and Babak Salimi.
    HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. SIGMOD 2022.

    Honorable Mention for Best Artifact Award


    Paper PDF | TechReport

  • Jiongli Zhu, Romila Pradhan, Boris Glavic and Babak Salimi.
    Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher. SIGMOD 2022.
    Paper PDF | Project Webpage

  • Romila Pradhan, Aditya Lahiri, Sainyam Galhotra and Babak Salimi.
    Explainable AI: Foundations, Applications, Opportunities for Data Management Research. SIGMOD 2022 Tutorial.
    Paper PDF | Tutorial Webpage

  • Romila Pradhan, Aditya Lahiri, Sainyam Galhotra and Babak Salimi.
    Explainable AI: Foundations, Applications, Opportunities for Data Management Research. ICDE 2022 Tutorial.
    Paper PDF | Tutorial Webpage

  • Romila Pradhan, Jiongli Zhu, Boris Glavic and Babak Salimi.
    Interpretable data-based explanations for fairness debugging. SIGMOD 2022.
    Paper PDF | TechReport | Project Webpage

  • Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou, Babak Salimi.
    Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification. SIGMOD 2022.
    Paper PDF | TechReport | Youtube

2021

  • Sainyam Galhotra, Romila Pradhan and Babak Salimi.
    Explaining black-box algorithms using probabilistic contrastive counterfactuals. SIGMOD 2021.
    Paper PDF | TechReport | Project Webpage

  • Paul Y. Wang, Sainyam Galhotra, Romila Pradhan, Babak Salimi.
    Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis. SIGMOD 2021.
    Paper PDF | TechReport | Project Webpage

  • Sainyam Galhotra, Romila Pradhan and Babak Salimi.
    Feature Attribution and Recourse via Probabilistic Contrastive Counterfactuals. ICML Workshop on Algorithmic Recourse 2021.
    Paper PDF

2020

  • Babak Salimi, Bill Howe, Dan Suciu.
    Database Repair Meets Algorithmic Fairness. SIGMOD Record 2020.

    Research Highlight Award


    Paper PDF

  • Moe Kayali, Babak Salimi, Dan Suciu.
    Demonstration of Inferring Causality from Relational Databases with CaRL. VLDB 2020.
    Paper PDF

  • Batya Kenig, Pranay Mundra, Guna Prasaad, Babak Salimi, Dan Suciu.
    Mining Approximate Acyclic Schemes from Relations. SIGMOD 2020.
    Paper PDF

2019

  • Babak Salimi, Bill Howe, Dan Suciu.
    Data Management for Causal Algorithmic Fairness. IEEE Data Engineering Bulletin 2019.
    Paper PDF

  • Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu.
    Interventional Fairness: Causal Database Repair for Algorithmic Fairness. SIGMOD 2019.

    Best Paper Award


    Paper PDF | TechReport

2018

  • Babak Salimi, Corey Cole, Peter Li, Johannes Gehrke, Dan Suciu.
    HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries. VLDB 2018.

    Best Demonstration Paper Award


    Paper PDF

  • Babak Salimi, Johannes Gehrke, Dan Suciu.
    Bias in OLAP Queries: Detection, Explanation, and Removal. SIGMOD 2018.
    Paper PDF | TechReport

  • Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe.
    MobilityMirror: Bias-Adjusted Transportation Datasets. BiDU 2018.
    Paper PDF

2017

  • Leopoldo E. Bertossi, Babak Salimi.
    Causes for query answers from databases: Datalog abduction, view-updates, and integrity constraints. International Journal of Approximate Reasoning.
    Paper PDF

  • Leopoldo E. Bertossi, Babak Salimi.
    From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. Theory of Computing Systems.
    Paper PDF

  • Babak Salimi, Corey Cole, Dan R. K. Ports, Dan Suciu.
    ZaliQL: Causal Inference from Observational Data at Scale. VLDB 2017.
    Paper PDF

  • Helga Gudmundsdottir, Babak Salimi, Magdalena Balazinska, Dan R. K. Ports, Dan Suciu.
    A Demonstration of Interactive Analysis of Performance Measurements with Viska. SIGMOD 2017.
    PDF

2016

  • Babak Salimi, Leopoldo E. Bertossi.
    Causes for Query Answers from Databases, Datalog Abduction and View-Updates: The Presence of Integrity Constraints. FLAIRS 2016.
    Paper PDF

  • Babak Salimi, Leopoldo E. Bertossi, Dan Suciu, Guy Van den Broeck.
    Quantifying Causal Effects on Query Answering in Databases. TaPP 2016.
    Paper PDF

2015

  • Babak Salimi, Leopoldo E. Bertossi.
    From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. ICDT 2015.
    Paper PDF

  • Babak Salimi, Leopoldo E. Bertossi.
    Query-Answer Causality in Databases: Abductive Diagnosis and View Updates. ACI 2015.