Salimi, Babak
- Explaining Black-Box Algorithms Using Probabilistic Contrastive\n Counterfactuals
2021/03/22 by Sainyam Galhotra, Galhotra, Sainyam, Romila Pradhan +3 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Databases (cs.DB) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Interpretable Data-Based Explanations for Fairness Debugging
2021/12/17 by Romila Pradhan, Pradhan, Romila, Jiongli Zhu +5 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #Bayesian Modeling and Causal Inference #Databases (cs.DB) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Causal Relational Learning
2020/04/07 by Babak Salimi, Salimi, Babak, Harsh Parikh +9 · 4 citations
Computer Science · Mathematics · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Statistical Methods and Inference
- Quantifying Causal Effects on Query Answering in Databases
2016/03/08 by Salimi, Babak, Bertossi, Leopoldo, Suciu, Dan +1 · 3 citations
#Databases (cs.DB) #FOS: Computer and information sciences #H.2 #I.2
- Data Management for Causal Algorithmic Fairness
2019/08/20 by Babak Salimi, Salimi, Babak, Bill Howe +3 · 3 citations
Computer Science · Social Sciences · #Databases (cs.DB) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Consistent Range Approximation for Fair Predictive Modeling
2022/12/21 by Jiongli Zhu, Sainyam Galhotra, Zhu, Jiongli +5 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- OTClean: Data Cleaning for Conditional Independence Violations using Optimal Transport
2024/03/04 by Alireza Pirhadi, Mohammad Hossein Moslemi, Pirhadi, Alireza +7 · 5 citations
Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Cloud Data Security Solutions #Data Quality and Management #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
2021/01/18 by Maliha Tashfia Islam, Islam, Maliha Tashfia, Anna Fariha +5 · 2 citations
Social Sciences · Computer Science · #Ethics and Social Impacts of AI #Privacy-Preserving Technologies in Data
- Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects
2024/03/17 by Seyedeh Baharan Khatami, Harsh Parikh, Khatami, Seyedeh Baharan +7 · 3 citations
Computer Science · Social Sciences · #Advanced Computing and Algorithms #Advanced Decision-Making Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Methodology (stat.ME) #Social and Information Networks (cs.SI)
- Causal Data Integration
2023/05/15 by Brit Youngmann, Michael Cafarella, Youngmann, Brit +5 · 2 citations
Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Data Quality and Management #Databases (cs.DB) #FOS: Computer and information sciences #Geochemistry and Geologic Mapping
- From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back
2014/12/14 by Babak Salimi, Salimi, Babak, Leopoldo Bertossi +1 · 3 citations
Computer Science · Decision Sciences · #Advanced Database Systems and Queries #Databases (cs.DB) #FOS: Computer and information sciences #Scientific Computing and Data Management #Semantic Web and Ontologies
- HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach
2022/03/28 by Sainyam Galhotra, Galhotra, Sainyam, Amir Gilad +5 · 1 citation
Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Data Quality and Management #Logic, Reasoning, and Knowledge
- Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders
2024/11/29 by Parjanya Prashant, Seyedeh Baharan Khatami, Prashant, Parjanya +5 · 3 citations
Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Risk and Portfolio Optimization
- Causes for Query Answers from Databases: Datalog Abduction, View-Updates, and Integrity Constraints
2016/11/06 by Bertossi, Leopoldo, Salimi, Babak · 1 citation
#Artificial Intelligence (cs.AI) #Databases (cs.DB) #FOS: Computer and information sciences
- Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation
2024/04/21 by Jensen Hwa, Hwa, Jensen, Qingyu Zhao +9 · 1 citation
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
- Using Causal Inference to Explore Government Policy Impact on Computer Usage
2025/03/13 by Ming Zhu, Zhu, Mingjia, Wang, Lechuan +8 · 1 citation
Computer Science · Economics, Econometrics and Finance · Mathematics · #Applications (stat.AP) #COVID-19 Digital Contact Tracing #COVID-19 Pandemic Impacts #COVID-19 epidemiological studies #Computers and Society (cs.CY) #FOS: Computer and information sciences