Babak Salimi - RankMe

87 papers A* 5A 4C 1Misc 1Journal 53Unranked 23

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Lightweight Method to Disrupt Memorized Sequences in LLM. CoRR Parjanya Prashant, Kaustubh Ponkshe, Babak Salimi
2025	—	`conf`	CausaLens: A System for Summarizing Causal DAGs. SIGMOD Conference Companion Noam Chen, Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Oren Mishali, Brit Youngmann, Babak Salimi
2025	J	`jnl`	Causal DAG Summarization (Full Version). CoRR Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Brit Youngmann, Babak Salimi
2025	J	`jnl`	Causal DAG Summarization. Proc. VLDB Endow. Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Brit Youngmann, Babak Salimi
2025	A	`conf`	Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects. AISTATS Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi
2025	J	`jnl`	Integrative transcriptomic analysis of non-small cell lung cancer: Microenvironment, circulation, and metastasis. Netw. Model. Anal. Health Informatics Bioinform. Adnan Khosravi, Sharareh Seifi, Babak Salimi, Maryam Mabani, Parsa Rostami, Masoumeh Nomani
2025	J	`jnl`	KAIROS: Scalable Model-Agnostic Data Valuation. CoRR Jiongli Zhu, Parjanya Prajakta Prashant, Alex Cloninger, Babak Salimi
2025	A*	`conf`	Navigating Data Errors in Machine Learning Pipelines: Identify, Debug, and Learn. ICDE Bojan Karlas, Babak Salimi, Sebastian Schelter
2025	—	`conf`	Navigating Data Errors in Machine Learning Pipelines: Identify, Debug, and Learn. SIGMOD Conference Companion Bojan Karlas, Babak Salimi, Sebastian Schelter
2025	A	`conf`	Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders. AISTATS Parjanya Prajakta Prashant, Seyedeh Baharan Khatami, Bruno Ribeiro, Babak Salimi
2025	J	`jnl`	Stress-Testing Causal Claims via Cardinality Repairs. CoRR Yarden Gabbay, Haoquan Guan, Shaull Almagor, El Kindi Rezig, Brit Youngmann, Babak Salimi
2025	J	`jnl`	Stress-Testing ML Pipelines with Adversarial Data Corruption. CoRR Jiongli Zhu, Geyang Xu, Felipe Lorenzi, Boris Glavic, Babak Salimi
2025	J	`jnl`	Stress-Testing ML Pipelines with Adversarial Data Corruption. Proc. VLDB Endow. Jiongli Zhu, Geyang Xu, Felipe Lorenzi, Boris Glavic, Babak Salimi
2025	J	`jnl`	Towards Robust Offline Evaluation: A Causal and Information Theoretic Framework for Debiasing Ranking Systems. CoRR Seyedeh Baharan Khatami, Sayan Chakraborty, Ruomeng Xu, Babak Salimi
2025	J	`jnl`	Using Causal Inference to Explore Government Policy Impact on Computer Usage. CoRR Mingjia Zhu, Lechuan Wang, Julien Sebot, Bijan Arbab, Babak Salimi, Alexander Cloninger
2025	—	`conf`	Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data. SIGMOD Conference Companion Kaiyuan Hu, Jiongli Zhu, Boris Glavic, Babak Salimi
2024	—	`conf`	DEMA: Enhancing Causal Analysis through Data Enrichment and Discovery in Data Lakes. VLDB Workshops Kayvon Heravi, Saathvik Dirisala, Babak Salimi
2024	—	`conf`	Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation. CVPR Workshops Jensen Hwa, Qingyu Zhao, Aditya Lahiri, Adnan Masood, Babak Salimi, Ehsan Adeli
2024	J	`jnl`	Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation. CoRR Jensen Hwa, Qingyu Zhao, Aditya Lahiri, Adnan Masood, Babak Salimi, Ehsan Adeli
2024	—	`conf`	First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI). SIGMOD Conference Companion Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann
2024	J	`jnl`	Graph Neural Network based Double Machine Learning Estimator of Network Causal Effects. CoRR Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi
2024	A*	`conf`	Learning from Uncertain Data: From Possible Worlds to Possible Models. NeurIPS Jiongli Zhu, Su Feng, Boris Glavic, Babak Salimi
2024	J	`jnl`	Learning from Uncertain Data: From Possible Worlds to Possible Models. CoRR Jiongli Zhu, Su Feng, Boris Glavic, Babak Salimi
2024	J	`jnl`	OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport. CoRR Alireza Pirhadi, Mohammad Hossein Moslemi, Alexander Cloninger, Mostafa Milani, Babak Salimi
2024	J	`jnl`	OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport. Proc. ACM Manag. Data Alireza Pirhadi, Mohammad Hossein Moslemi, Alexander Cloninger, Mostafa Milani, Babak Salimi
2024	J	`jnl`	Overcoming Data Biases: Towards Enhanced Accuracy and Reliability in Machine Learning. IEEE Data Eng. Bull. Jiongli Zhu, Babak Salimi
2024	J	`jnl`	Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders. CoRR Parjanya Prashant, Seyedeh Baharan Khatami, Bruno Ribeiro, Babak Salimi
2023	J	`jnl`	Causal Data Integration. CoRR Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng
2023	J	`jnl`	Causal Data Integration. Proc. VLDB Endow. Brit Youngmann, Michael J. Cafarella, Babak Salimi, Anna Zeng
2023	A*	`conf`	Causal What-If and How-To Analysis Using HypeR. ICDE Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
2023	J	`jnl`	Consistent Range Approximation for Fair Predictive Modeling. Proc. VLDB Endow. Jiongli Zhu, Sainyam Galhotra, Nazanin Sabri, Babak Salimi
2023	—	`conf`	NEXUS: On Explaining Confounding Bias. SIGMOD Conference Companion Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
2023	A*	`conf`	On Explaining Confounding Bias. ICDE Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
2023	C	`conf`	SAFE-PASS: Stewardship, Advocacy, Fairness and Empowerment in Privacy, Accountability, Security, and Safety for Vulnerable Groups. SACMAT 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
2022	—	`conf`	Causal Inference in Data Analysis with Applications to Fairness and Explanations. RW Sudeepa Roy, Babak Salimi
2022	J	`jnl`	Combining Counterfactuals With Shapley Values To Explain Image Models. CoRR Aditya Lahiri, Kamran Alipour, Ehsan Adeli, Babak Salimi
2022	J	`jnl`	Crab: Learning Certifiably Fair Predictive Models in the Presence of Selection Bias. CoRR Jiongli Zhu, Nazanin Sabri, Sainyam Galhotra, Babak Salimi
2022	J	`jnl`	Database Education at UC San Diego. SIGMOD Rec. Arun Kumar, Alin Deutsch, Amarnath Gupta, Yannis Papakonstantinou, Babak Salimi, Victor Vianu
2022	A*	`conf`	Explainable AI: Foundations, Applications, Opportunities for Data Management Research. ICDE Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi
2022	—	`conf`	Explainable AI: Foundations, Applications, Opportunities for Data Management Research. SIGMOD Conference Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi
2022	J	`jnl`	Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces. CoRR Kamran Alipour, Aditya Lahiri, Ehsan Adeli, Babak Salimi, Michael J. Pazzani
2022	—	`conf`	Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher. SIGMOD Conference Jiongli Zhu, Romila Pradhan, Boris Glavic, Babak Salimi
2022	—	`conf`	HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. SIGMOD Conference Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
2022	J	`jnl`	HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. CoRR Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi
2022	—	`conf`	Interpretable Data-Based Explanations for Fairness Debugging. SIGMOD Conference Romila Pradhan, Jiongli Zhu, Boris Glavic, Babak Salimi
2022	J	`jnl`	On Explaining Confounding Bias. CoRR Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi
2022	—	`conf`	Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification. SIGMOD Conference Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou, Babak Salimi
2021	J	`jnl`	Demonstration of Generating Explanations for Black-Box Algorithms Using Lewis. Proc. VLDB Endow. Paul Y. Wang, Sainyam Galhotra, Romila Pradhan, Babak Salimi
2021	J	`jnl`	Detecting Treatment Effect Modifiers in Social Networks. CoRR Amir Gilad, Harsh Parikh, Babak Salimi, Sudeepa Roy
2021	—	`conf`	Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. SIGMOD Conference Sainyam Galhotra, Romila Pradhan, Babak Salimi
2021	J	`jnl`	Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. CoRR Sainyam Galhotra, Romila Pradhan, Babak Salimi
2021	J	`jnl`	Interpretable Data-Based Explanations for Fairness Debugging. CoRR Romila Pradhan, Jiongli Zhu, Boris Glavic, Babak Salimi
2020	—	`conf`	Causal Relational Learning. SIGMOD Conference Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu
2020	J	`jnl`	Causal Relational Learning. CoRR Babak Salimi, Harsh Parikh, Moe Kayali, Sudeepa Roy, Lise Getoor, Dan Suciu
2020	J	`jnl`	Database Repair Meets Algorithmic Fairness. SIGMOD Rec. Babak Salimi, Bill Howe, Dan Suciu
2020	J	`jnl`	Demonstration of Inferring Causality from Relational Databases with CaRL. Proc. VLDB Endow. Moe Kayali, Babak Salimi, Dan Suciu
2020	—	`conf`	Mining Approximate Acyclic Schemes from Relations. SIGMOD Conference Batya Kenig, Pranay Mundra, Guna Prasaad, Babak Salimi, Dan Suciu
2019	J	`jnl`	Capuchin: Causal Database Repair for Algorithmic Fairness. CoRR Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu
2019	J	`jnl`	Data Management for Causal Algorithmic Fairness. CoRR Babak Salimi, Bill Howe, Dan Suciu
2019	J	`jnl`	Data Management for Causal Algorithmic Fairness. IEEE Data Eng. Bull. Babak Salimi, Bill Howe, Dan Suciu
2019	—	`conf`	Interventional Fairness: Causal Database Repair for Algorithmic Fairness. SIGMOD Conference Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu
2019	J	`jnl`	Mining Approximate Acyclic Schemes from Relations. CoRR Batya Kenig, Pranay Mundra, Guna Prasaad, Babak Salimi, Dan Suciu
2018	—	`conf`	Bias in OLAP Queries: Detection, Explanation, and Removal. SIGMOD Conference Babak Salimi, Johannes Gehrke, Dan Suciu
2018	J	`jnl`	HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries. Proc. VLDB Endow. Babak Salimi, Corey Cole, Peter Li, Johannes Gehrke, Dan Suciu
2018	J	`jnl`	HypDB: Detect, Explain And Resolve Bias in OLAP. CoRR Babak Salimi, Johannes Gehrke, Dan Suciu
2018	—	`conf`	MobilityMirror: Bias-Adjusted Transportation Datasets. BiDU@VLDB Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe
2018	J	`jnl`	MobilityMirror: Bias-Adjusted Transportation Datasets. CoRR Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe
2017	—	`conf`	A Demonstration of Interactive Analysis of Performance Measurements with Viska. SIGMOD Conference Helga Gudmundsdottir, Babak Salimi, Magdalena Balazinska, Dan R. K. Ports, Dan Suciu
2017	J	`jnl`	A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence. CoRR Sudeepa Roy, Babak Salimi
2017	J	`jnl`	Causes for query answers from databases: Datalog abduction, view-updates, and integrity constraints. Int. J. Approx. Reason. Leopoldo E. Bertossi, Babak Salimi
2017	J	`jnl`	From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. Theory Comput. Syst. Leopoldo E. Bertossi, Babak Salimi
2017	J	`jnl`	ZaliQL: Causal Inference from Observational Data at Scale. Proc. VLDB Endow. Babak Salimi, Corey Cole, Dan R. K. Ports, Dan Suciu
2016	Misc	`conf`	Causes for Query Answers from Databases, Datalog Abduction and View-Updates: The Presence of Integrity Constraints. FLAIRS Babak Salimi, Leopoldo E. Bertossi
2016	J	`jnl`	Causes for Query Answers from Databases, Datalog Abduction and View-Updates: The Presence of Integrity Constraints. CoRR Babak Salimi, Leopoldo E. Bertossi
2016	J	`jnl`	Causes for Query Answers from Databases: Datalog Abduction, View-Updates, and Integrity Constraints. CoRR Leopoldo E. Bertossi, Babak Salimi
2016	—	`conf`	Quantifying Causal Effects on Query Answering in Databases. TaPP Babak Salimi, Leopoldo E. Bertossi, Dan Suciu, Guy Van den Broeck
2016	J	`jnl`	Quantifying Causal Effects on Query Answering in Databases. CoRR Babak Salimi, Leopoldo E. Bertossi, Dan Suciu, Guy Van den Broeck
2016	J	`jnl`	ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data. CoRR Babak Salimi, Dan Suciu
2015	A	`conf`	From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. ICDT Babak Salimi, Leopoldo E. Bertossi
2015	J	`jnl`	From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. CoRR Babak Salimi, Leopoldo E. Bertossi
2015	—	`conf`	Query-Answer Causality in Databases: Abductive Diagnosis and View Updates. ACI@UAI Babak Salimi, Leopoldo E. Bertossi
2015	J	`jnl`	Query-Answer Causality in Databases: Abductive Diagnosis and View-Updates. CoRR Babak Salimi, Leopoldo E. Bertossi
2014	—	`conf`	Causality in Databases, Database Repairs, and Consistency-Based Diagnosis (extended abstract). AMW Leopoldo E. Bertossi, Babak Salimi
2014	J	`jnl`	Causality in Databases: The Diagnosis and Repair Connections. CoRR Babak Salimi, Leopoldo E. Bertossi
2014	J	`jnl`	From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. CoRR Babak Salimi, Leopoldo E. Bertossi
2014	J	`jnl`	Unifying Causality, Diagnosis, Repairs and View-Updates in Databases. CoRR Leopoldo E. Bertossi, Babak Salimi
1990	A	`conf`	On the Diagnostic Resolution of Signature Analysis. ICCAD Janusz Rajski, Jerzy Tyszer, Babak Salimi