Babak Salimi

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 58

Top Topics

Conditional Independence

Data Management

Top Venues

SIGMOD Conference

Proc. VLDB Endow.

Publications

Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann
First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI). SIGMOD Conference Companion (2024)
Alireza Pirhadi, Mohammad Hossein Moslemi, Alexander Cloninger, Mostafa Milani, Babak Salimi
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport. Proc. ACM Manag. Data 2 (3) (2024)
Jiongli Zhu, Babak Salimi
Overcoming Data Biases: Towards Enhanced Accuracy and Reliability in Machine Learning. IEEE Data Eng. Bull. 47 (1) (2024)
Jensen Hwa, Qingyu Zhao, Aditya Lahiri, Adnan Masood, Babak Salimi, Ehsan Adeli
Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation. CoRR (2024)
Jiongli Zhu, Su Feng, Boris Glavic, Babak Salimi
Learning from Uncertain Data: From Possible Worlds to Possible Models. CoRR (2024)
Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi
Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects. CoRR (2024)
Alireza Pirhadi, Mohammad Hossein Moslemi, Alexander Cloninger, Mostafa Milani, Babak Salimi
OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport. CoRR (2024)
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)
Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng
Causal Data Integration. Proc. VLDB Endow. 16 (10) (2023)
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
SAFE-PASS: Stewardship, Advocacy, Fairness and Empowerment in Privacy, Accountability, Security, and Safety for Vulnerable Groups. SACMAT (2023)
Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng
Causal Data Integration. CoRR (2023)
Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
On Explaining Confounding Bias. ICDE (2023)
Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
NEXUS: On Explaining Confounding Bias. SIGMOD Conference Companion (2023)
Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi
Consistent Range Approximation for Fair Predictive Modeling. Proc. VLDB Endow. 16 (11) (2023)
Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. CoRR (2022)
Jiongli Zhu, Romila Pradhan, Boris Glavic, Babak Salimi
Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher. SIGMOD Conference (2022)
Romila Pradhan, Jiongli Zhu, Boris Glavic, Babak Salimi
Interpretable Data-Based Explanations for Fairness Debugging. SIGMOD Conference (2022)
Kamran Alipour, Aditya Lahiri, Ehsan Adeli, Babak Salimi, Michael J. Pazzani
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces. CoRR (2022)
Arun Kumar, Alin Deutsch, Amarnath Gupta, Yannis Papakonstantinou, Babak Salimi, Victor Vianu
Database Education at UC San Diego. SIGMOD Rec. 51 (3) (2022)
Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi
Explainable AI: Foundations, Applications, Opportunities for Data Management Research. SIGMOD Conference (2022)
Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi
Explainable AI: Foundations, Applications, Opportunities for Data Management Research. ICDE (2022)
Aditya Lahiri, Kamran Alipour, Ehsan Adeli, Babak Salimi
Combining Counterfactuals With Shapley Values To Explain Image Models. CoRR (2022)
Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
On Explaining Confounding Bias. CoRR (2022)
Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou, Babak Salimi
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification. SIGMOD Conference (2022)
Jiongli Zhu, Nazanin Sabri, Sainyam Galhotra, Babak Salimi
Crab: Learning Certifiably Fair Predictive Models in the Presence of Selection Bias. CoRR (2022)
Sudeepa Roy, Babak Salimi
Causal Inference in Data Analysis with Applications to Fairness and Explanations. Reasoning Web (2022)
Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. SIGMOD Conference (2022)
Sainyam Galhotra, Romila Pradhan, Babak Salimi
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. SIGMOD Conference (2021)
Sainyam Galhotra, Romila Pradhan, Babak Salimi
Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. CoRR (2021)
Paul Y. Wang, Sainyam Galhotra, Romila Pradhan, Babak Salimi
Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis. Proc. VLDB Endow. 14 (12) (2021)
Amir Gilad, Harsh Parikh, Babak Salimi, Sudeepa Roy
Detecting Treatment Effect Modifiers in Social Networks. CoRR (2021)
Romila Pradhan, Jiongli Zhu, Boris Glavic, Babak Salimi
Interpretable Data-Based Explanations for Fairness Debugging. CoRR (2021)
Batya Kenig, Pranay Mundra, Guna Prasaad, Babak Salimi, Dan Suciu
Mining Approximate Acyclic Schemes from Relations. SIGMOD Conference (2020)
Babak Salimi, Harsh Parikh, Moe Kayali, Sudeepa Roy, Lise Getoor, Dan Suciu
Causal Relational Learning. CoRR (2020)
Moe Kayali, Babak Salimi, Dan Suciu
Demonstration of Inferring Causality from Relational Databases with CaRL. Proc. VLDB Endow. 13 (12) (2020)
Babak Salimi, Bill Howe, Dan Suciu
Database Repair Meets Algorithmic Fairness. SIGMOD Rec. 49 (1) (2020)
Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu
Causal Relational Learning. SIGMOD Conference (2020)
Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu
Capuchin: Causal Database Repair for Algorithmic Fairness. CoRR (2019)
Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu
Interventional Fairness: Causal Database Repair for Algorithmic Fairness. SIGMOD Conference (2019)
Babak Salimi, Bill Howe, Dan Suciu
Data Management for Causal Algorithmic Fairness. IEEE Data Eng. Bull. 42 (3) (2019)
Batya Kenig, Pranay Mundra, Guna Prasaad, Babak Salimi, Dan Suciu
Mining Approximate Acyclic Schemes from Relations. CoRR (2019)
Babak Salimi, Bill Howe, Dan Suciu
Data Management for Causal Algorithmic Fairness. CoRR (2019)
Babak Salimi, Johannes Gehrke, Dan Suciu
Bias in OLAP Queries: Detection, Explanation, and Removal. SIGMOD Conference (2018)
Babak Salimi, Corey Cole, Peter Li, Johannes Gehrke, Dan Suciu
HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries. Proc. VLDB Endow. 11 (12) (2018)
Babak Salimi, Johannes Gehrke, Dan Suciu
HypDB: Detect, Explain And Resolve Bias in OLAP. CoRR (2018)
Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe
MobilityMirror: Bias-Adjusted Transportation Datasets. BiDU@VLDB (2018)
Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe
MobilityMirror: Bias-Adjusted Transportation Datasets. CoRR (2018)
Leopoldo E. Bertossi, Babak Salimi
Causes for query answers from databases: Datalog abduction, view-updates, and integrity constraints. Int. J. Approx. Reason. 90 (2017)
Sudeepa Roy, Babak Salimi
A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence. CoRR (2017)
Helga Gudmundsdottir, Babak Salimi, Magdalena Balazinska, Dan R. K. Ports, Dan Suciu
A Demonstration of Interactive Analysis of Performance Measurements with Viska. SIGMOD Conference (2017)
Leopoldo E. Bertossi, Babak Salimi
From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. Theory Comput. Syst. 61 (1) (2017)
Babak Salimi, Corey Cole, Dan R. K. Ports, Dan Suciu
ZaliQL: Causal Inference from Observational Data at Scale. Proc. VLDB Endow. 10 (12) (2017)
Babak Salimi, Leopoldo E. Bertossi, Dan Suciu, Guy Van den Broeck
Quantifying Causal Effects on Query Answering in Databases. TaPP (2016)
Babak Salimi, Leopoldo E. Bertossi
Causes for Query Answers from Databases, Datalog Abduction and View-Updates: The Presence of Integrity Constraints. CoRR (2016)
Babak Salimi, Leopoldo E. Bertossi, Dan Suciu, Guy Van den Broeck
Quantifying Causal Effects on Query Answering in Databases. CoRR (2016)
Babak Salimi, Dan Suciu
ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data. CoRR (2016)
Leopoldo E. Bertossi, Babak Salimi
Causes for Query Answers from Databases: Datalog Abduction, View-Updates, and Integrity Constraints. CoRR (2016)
Babak Salimi, Leopoldo E. Bertossi
Causes for Query Answers from Databases, Datalog Abduction and View-Updates: The Presence of Integrity Constraints. FLAIRS Conference (2016)
Babak Salimi, Leopoldo E. Bertossi
Query-Answer Causality in Databases: Abductive Diagnosis and View Updates. ACI@UAI (2015)
Babak Salimi, Leopoldo E. Bertossi
Query-Answer Causality in Databases: Abductive Diagnosis and View-Updates. CoRR (2015)
Babak Salimi, Leopoldo E. Bertossi
From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. CoRR (2015)
Babak Salimi, Leopoldo E. Bertossi
From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. ICDT (2015)
Babak Salimi, Leopoldo E. Bertossi
Causality in Databases: The Diagnosis and Repair Connections. CoRR (2014)
Babak Salimi, Leopoldo E. Bertossi
From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. CoRR (2014)
Leopoldo E. Bertossi, Babak Salimi
Causality in Databases, Database Repairs, and Consistency-Based Diagnosis (extended abstract). AMW (2014)
Leopoldo E. Bertossi, Babak Salimi
Unifying Causality, Diagnosis, Repairs and View-Updates in Databases. CoRR (2014)
Janusz Rajski, Jerzy Tyszer, Babak Salimi
On the Diagnostic Resolution of Signature Analysis. ICCAD (1990)