Publications
2024
Jiongli Zhu, Su Feng, Boris Glavic, Babak Salimi
Learning from Uncertain Data: From Possible Worlds to Possible Models. NeurIPS 2024.
Paper PDF
Baharan Khatami, Seyedeh, Harsh Parikh, Haowei Chen, Sudeepa Roy, and Babak Salimi.
Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects. Pre-print .
Paper PDF
Jiongli Zhu, Babak Salimi.
Overcoming Data Biases: Towards Enhanced Accuracy and Reliability in Machine Learning. IEEE Data Engineering Bulletin 2024.
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Alireza Pirhadi, Mohammad Hossein Moslemi, Alexander Cloninger, Mostafa Milani, Babak Salimi.
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport . SIGMOD 2024.
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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.
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Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi.
Consistent Range Approximation for Fair Predictive Modeling.VLDB 2023.
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Brit Youngmann, Michael Cafarella, Babak Salimi, Anna Zeng.
Causal Data Integration. VLDB 2023.
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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.
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2020
Babak Salimi, Bill Howe, Dan Suciu.
Database Repair Meets Algorithmic Fairness. SIGMOD Record 2020.
Research Highlight Award
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Moe Kayali, Babak Salimi, Dan Suciu.
Demonstration of Inferring Causality from Relational Databases with CaRL. VLDB 2020.
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Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu.
Causal Relational Learning. SIGMOD 2020.
Paper PDF | TechReport | Project Webpage
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.
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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.
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Babak Salimi, Corey Cole, Dan R. K. Ports, Dan Suciu.
ZaliQL: Causal Inference from Observational Data at Scale. VLDB 2017.
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Helga Gudmundsdottir, Babak Salimi, Magdalena Balazinska, Dan R. K. Ports, Dan Suciu.
A Demonstration of Interactive Analysis of Performance Measurements with Viska. SIGMOD 2017.
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2016
Babak Salimi, Leopoldo E. Bertossi.
Causes for Query Answers from Databases, Datalog Abduction and View-Updates: The Presence of Integrity Constraints. FLAIRS 2016.
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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.
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Babak Salimi, Leopoldo E. Bertossi.
Query-Answer Causality in Databases: Abductive Diagnosis and View Updates. ACI 2015.