Babak Salimi

According to our database, Babak Salimi authored at least 50 papers between 1990 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport.

Alireza Pirhadi, Mohammad Hossein Moslemi, Alexander Cloninger, Mostafa Milani, Babak Salimi

Proc. ACM Manag. Data, 2024

Overcoming Data Biases: Towards Enhanced Accuracy and Reliability in Machine Learning.

Jiongli Zhu, Babak Salimi

IEEE Data Eng. Bull., 2024

Learning from Uncertain Data: From Possible Worlds to Possible Models.

Jiongli Zhu, Su Feng, Boris Glavic, Babak Salimi

CoRR, 2024

Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects.

Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi

CoRR, 2024

DEMA: Enhancing Causal Analysis through Data Enrichment and Discovery in Data Lakes.

Kayvon Heravi, Saathvik Dirisala, Babak Salimi

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI).

Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation.

Jensen Hwa, Qingyu Zhao, Aditya Lahiri, Adnan Masood, Babak Salimi, Ehsan Adeli

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Consistent Range Approximation for Fair Predictive Modeling.

Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi

Proc. VLDB Endow., 2023

Causal Data Integration.

Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng

Proc. VLDB Endow., 2023

NEXUS: On Explaining Confounding Bias.

Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi

Proceedings of the Companion of the 2023 International Conference on Management of Data, 2023

SAFE-PASS: Stewardship, Advocacy, Fairness and Empowerment in Privacy, Accountability, Security, and Safety for Vulnerable Groups.

Indrajit Ray, Bhavani Thuraisingham, Jaideep Vaidya, Sharad Mehrotra, Vijayalakshmi Atluri, Indrakshi Ray, Murat Kantarcioglu, Ramesh Raskar, Babak Salimi, Steve Simske, Nalini Venkatasubramanian, Vivek K. Singh

Proceedings of the 28th ACM Symposium on Access Control Models and Technologies, 2023

On Explaining Confounding Bias.

Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Causal What-If and How-To Analysis Using HypeR.

Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Database Education at UC San Diego.

Arun Kumar, Alin Deutsch, Amarnath Gupta, Yannis Papakonstantinou, Babak Salimi, Victor Vianu

SIGMOD Rec., 2022

Crab: Learning Certifiably Fair Predictive Models in the Presence of Selection Bias.

Jiongli Zhu, Nazanin Sabri, Sainyam Galhotra, Babak Salimi

CoRR, 2022

Combining Counterfactuals With Shapley Values To Explain Image Models.

Aditya Lahiri, Kamran Alipour, Ehsan Adeli, Babak Salimi

CoRR, 2022

Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces.

Kamran Alipour, Aditya Lahiri, Ehsan Adeli, Babak Salimi, Michael J. Pazzani

CoRR, 2022

Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher.

Jiongli Zhu, Romila Pradhan, Boris Glavic, Babak Salimi

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Interpretable Data-Based Explanations for Fairness Debugging.

Romila Pradhan, Jiongli Zhu, Boris Glavic, Babak Salimi

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification.

Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou, Babak Salimi

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach.

Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Causal Inference in Data Analysis with Applications to Fairness and Explanations.

Sudeepa Roy, Babak Salimi

Proceedings of the Reasoning Web. Causality, Explanations and Declarative Knowledge, 2022

Explainable AI: Foundations, Applications, Opportunities for Data Management Research.

Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis.

Paul Y. Wang, Sainyam Galhotra, Romila Pradhan, Babak Salimi

Proc. VLDB Endow., 2021

Detecting Treatment Effect Modifiers in Social Networks.

Amir Gilad, Harsh Parikh, Babak Salimi, Sudeepa Roy

CoRR, 2021

Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals.

Sainyam Galhotra, Romila Pradhan, Babak Salimi

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

Database Repair Meets Algorithmic Fairness.

Babak Salimi, Bill Howe, Dan Suciu

SIGMOD Rec., 2020

Demonstration of Inferring Causality from Relational Databases with CaRL.

Moe Kayali, Babak Salimi, Dan Suciu

Proc. VLDB Endow., 2020

Causal Relational Learning.

Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu

Proceedings of the 2020 International Conference on Management of Data, 2020

Mining Approximate Acyclic Schemes from Relations.

Batya Kenig, Pranay Mundra, Guna Prasaad, Babak Salimi, Dan Suciu

Proceedings of the 2020 International Conference on Management of Data, 2020

2019

Data Management for Causal Algorithmic Fairness.

Babak Salimi, Bill Howe, Dan Suciu

IEEE Data Eng. Bull., 2019

Capuchin: Causal Database Repair for Algorithmic Fairness.

Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu

CoRR, 2019

Interventional Fairness: Causal Database Repair for Algorithmic Fairness.

Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu

Proceedings of the 2019 International Conference on Management of Data, 2019

2018

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

Babak Salimi, Corey Cole, Peter Li, Johannes Gehrke, Dan Suciu

Proc. VLDB Endow., 2018

HypDB: Detect, Explain And Resolve Bias in OLAP.

Babak Salimi, Johannes Gehrke, Dan Suciu

CoRR, 2018

MobilityMirror: Bias-Adjusted Transportation Datasets.

Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe

Proceedings of the Big Social Data and Urban Computing, 2018

Bias in OLAP Queries: Detection, Explanation, and Removal.

Babak Salimi, Johannes Gehrke, Dan Suciu

Proceedings of the 2018 International Conference on Management of Data, 2018

2017

ZaliQL: Causal Inference from Observational Data at Scale.

Babak Salimi, Corey Cole, Dan R. K. Ports, Dan Suciu

Proc. VLDB Endow., 2017

From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back.

Leopoldo E. Bertossi, Babak Salimi

Theory Comput. Syst., 2017

Causes for query answers from databases: Datalog abduction, view-updates, and integrity constraints.

Leopoldo E. Bertossi, Babak Salimi

Int. J. Approx. Reason., 2017

A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence.

Sudeepa Roy, Babak Salimi

CoRR, 2017

A Demonstration of Interactive Analysis of Performance Measurements with Viska.

Helga Gudmundsdottir, Babak Salimi, Magdalena Balazinska, Dan R. K. Ports, Dan Suciu

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016

ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data.

Babak Salimi, Dan Suciu

CoRR, 2016

Quantifying Causal Effects on Query Answering in Databases.

Babak Salimi, Leopoldo E. Bertossi, Dan Suciu, Guy Van den Broeck

Proceedings of the 8th USENIX Workshop on the Theory and Practice of Provenance, 2016

Causes for Query Answers from Databases, Datalog Abduction and View-Updates: The Presence of Integrity Constraints.

Babak Salimi, Leopoldo E. Bertossi

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

2015

Query-Answer Causality in Databases: Abductive Diagnosis and View Updates.

Babak Salimi, Leopoldo E. Bertossi

Proceedings of the UAI 2015 Workshop on Advances in Causal Inference co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), 2015

2014

Causality in Databases: The Diagnosis and Repair Connections.

Babak Salimi, Leopoldo E. Bertossi

CoRR, 2014

Unifying Causality, Diagnosis, Repairs and View-Updates in Databases.

Leopoldo E. Bertossi, Babak Salimi

CoRR, 2014

Causality in Databases, Database Repairs, and Consistency-Based Diagnosis (extended abstract).

Leopoldo E. Bertossi, Babak Salimi

Proceedings of the 8th Alberto Mendelzon Workshop on Foundations of Data Management, 2014

1990

On the Diagnostic Resolution of Signature Analysis.

Janusz Rajski, Jerzy Tyszer, Babak Salimi

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 1990