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Publications

2025

  • P. Prashant, K. Ponkshe, B. Salimi.
    A Lightweight Method to Disrupt Memorized Sequences in LLM. NeurIPS 2025.

Spotlight Presentation
Paper

  • J. Zhu, P. Prashant, A. Cloninger, B. Salimi.
    KAIROS: Scalable Model-Agnostic Data Valuation. NeurIPS 2025.
    Paper

  • P. Prashant, B. Khatami, B. Ribeiro, B. Salimi.
    Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders. AISTATS 2025.
    Paper

  • B. Khatami, H. Parikh, H. Chen, S. Roy, B. Salimi.
    Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects. AISTATS 2025.
    Paper

  • A. Zeng, M. Markakis, M. Cafarella, B. Youngmann, B. Kenig, B. Salimi.
    Causal DAG Summarization. VLDB 2025.
    Paper

  • J. Zhu, G. Xu, F. Lorenzi, B. Glavic, B. Salimi.
    Stress-Testing ML Pipelines with Adversarial Data Corruption. VLDB 2025.
    Paper

  • B. Karlas, B. Salimi, S. Schelter.
    Navigating Data Errors in Machine Learning Pipelines: Identify, Debug, and Learn. SIGMOD 2025.
    Paper

  • K. Hu, J. Zhu, B. Glavic, B. Salimi.
    Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data. SIGMOD 2025.
    Paper

2024

  • J. Zhu, S. Feng, B. Glavic, B. Salimi.
    Learning from Uncertain Data: From Possible Worlds to Possible Models. NeurIPS 2024.
    Paper

  • J. Zhu, B. Salimi.
    Overcoming Data Biases: Towards Enhanced Accuracy and Reliability in Machine Learning. IEEE Data Engineering Bulletin 2024.
    Paper

  • J. Hwa, Q. Zhao, A. Lahiri, A. Masood, B. Salimi, E. Adeli.
    Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation. IEEE/CVF @ CVPR 2024.

  • K. Heravi, S. Dirisala, B. Salimi.
    DEMA: Enhancing Causal Analysis through Data Enrichment and Discovery in Data Lakes. ISSN @ VLDB 2024.

  • A. Pirhadi, M.H. Moslemi, A. Cloninger, M. Milani, B. Salimi.
    OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport. SIGMOD 2024.
    Paper

2023

  • S. Roy, B. Salimi.
    Causal Inference in Data Analysis with Applications to Fairness and Explanations.
    Reasoning Web 2022 (Invited Tutorial).
    Paper

  • B. Youngmann, M. Cafarella, Y. Moskovitch, B. Salimi.
    NEXUS: On Explaining Confounding Bias. SIGMOD 2023.
    Paper

  • J. Zhu, S. Galhotra, N. Sabri, B. Salimi.
    Consistent Range Approximation for Fair Predictive Modeling. VLDB 2023.
    Paper

  • B. Youngmann, M. Cafarella, B. Salimi, A. Zeng.
    Causal Data Integration. VLDB 2023.
    Paper

  • B. Youngmann, M. Cafarella, B. Salimi, Y. Moskovitch.
    On Explaining Confounding Bias. ICDE 2023.
    Paper

  • F. Shen, K. Heravi, O. Gomez, S. Galhotra, A. Gilad, S. Roy, B. Salimi.
    Causal What-If and How-To Analysis Using Hyper. ICDE 2023.

2022

  • A. Lahiri, K. Alipour, E. Adeli, B. Salimi.
    Combining Counterfactuals With Shapley Values To Explain Image Models.
    ICML 2022 Workshop on Responsible Decision Making in Dynamic Environments.
    Paper

  • S. Galhotra, A. Gilad, S. Roy, B. 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 | TechReport

  • J. Zhu, R. Pradhan, B. Glavic, B. Salimi.
    Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher. SIGMOD 2022.
    Paper | Project Webpage

  • R. Pradhan, A. Lahiri, S. Galhotra, B. Salimi.
    Explainable AI: Foundations, Applications, Opportunities for Data Management Research. SIGMOD 2022 Tutorial.
    Paper | Tutorial Webpage

  • R. Pradhan, A. Lahiri, S. Galhotra, B. Salimi.
    Explainable AI: Foundations, Applications, Opportunities for Data Management Research. ICDE 2022 Tutorial.
    Paper | Tutorial Webpage

  • R. Pradhan, J. Zhu, B. Glavic, B. Salimi.
    Interpretable Data-Based Explanations for Fairness Debugging. SIGMOD 2022.
    Paper | TechReport | Project Webpage

  • M.T. Islam, A. Fariha, A. Meliou, B. Salimi.
    Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification. SIGMOD 2022.
    Paper | TechReport | Video

2021

  • S. Galhotra, R. Pradhan, B. Salimi.
    Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. SIGMOD 2021.
    Paper | TechReport | Project Webpage

  • P.Y. Wang, S. Galhotra, R. Pradhan, B. Salimi.
    Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis. SIGMOD 2021.
    Paper | TechReport | Project Webpage

  • S. Galhotra, R. Pradhan, B. Salimi.
    Feature Attribution and Recourse via Probabilistic Contrastive Counterfactuals. ICML 2021 Workshop on Algorithmic Recourse.
    Paper

2020

  • B. Salimi, B. Howe, D. Suciu.
    Database Repair Meets Algorithmic Fairness. SIGMOD Record 2020.

Research Highlight Award Paper

  • M. Kayali, B. Salimi, D. Suciu.
    Demonstration of Inferring Causality from Relational Databases with CaRL. VLDB 2020.
    Paper

  • B. Kenig, P. Mundra, G. Prasaad, B. Salimi, D. Suciu.
    Mining Approximate Acyclic Schemes from Relations. SIGMOD 2020.
    Paper

2019

  • B. Salimi, B. Howe, D. Suciu.
    Data Management for Causal Algorithmic Fairness. IEEE Data Engineering Bulletin 2019.
    Paper

  • B. Salimi, L. Rodriguez, B. Howe, D. Suciu.
    Interventional Fairness: Causal Database Repair for Algorithmic Fairness. SIGMOD 2019.

Best Paper Award Paper | TechReport

2018

  • B. Salimi, C. Cole, P. Li, J. Gehrke, D. Suciu.
    HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP Queries. VLDB 2018.

Best Demonstration Paper Award Paper

  • B. Salimi, J. Gehrke, D. Suciu.
    Bias in OLAP Queries: Detection, Explanation, and Removal. SIGMOD 2018.
    Paper | TechReport

  • L. Rodriguez, B. Salimi, H. Ping, J. Stoyanovich, B. Howe.
    MobilityMirror: Bias-Adjusted Transportation Datasets. BiDU 2018.
    Paper

2017

  • L.E. Bertossi, B. Salimi.
    Causes for Query Answers from Databases: Datalog Abduction, View-Updates, and Integrity Constraints. International Journal of Approximate Reasoning 2017.
    Paper

  • L.E. Bertossi, B. Salimi.
    From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. Theory of Computing Systems 2017.
    Paper

  • B. Salimi, C. Cole, D.R.K. Ports, D. Suciu.
    ZaliQL: Causal Inference from Observational Data at Scale. VLDB 2017.
    Paper

  • H. Gudmundsdottir, B. Salimi, M. Balazinska, D.R.K. Ports, D. Suciu.
    A Demonstration of Interactive Analysis of Performance Measurements with Viska. SIGMOD 2017.
    Paper

2016

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

  • B. Salimi, L.E. Bertossi, D. Suciu, G. Van den Broeck.
    Quantifying Causal Effects on Query Answering in Databases. TaPP 2016.
    Paper

2015

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

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