Babak Salimi | DeepAI

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∙ 05/15/2023

Causal Data Integration

Causal inference is fundamental to empirical scientific discoveries in n...

0 Brit Youngmann, et al. ∙

∙ 12/21/2022

Consistent Range Approximation for Fair Predictive Modeling

This paper proposes a novel framework for certifying the fairness of pre...

6 Jiongli Zhu, et al. ∙

∙ 10/06/2022

On Explaining Confounding Bias

When analyzing large datasets, analysts are often interested in the expl...

0 Brit Youngmann, et al. ∙

∙ 03/28/2022

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

What-if (provisioning for an update to a database) and how-to (how to mo...

0 Sainyam Galhotra, et al. ∙

∙ 12/17/2021

Interpretable Data-Based Explanations for Fairness Debugging

A wide variety of fairness metrics and eXplainable Artificial Intelligen...

0 Romila Pradhan, et al. ∙

∙ 03/22/2021

Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals

There has been a recent resurgence of interest in explainable artificial...

14 Sainyam Galhotra, et al. ∙

∙ 04/07/2020

Causal Relational Learning

Causal inference is at the heart of empirical research in natural and so...

20 Babak Salimi, et al. ∙

∙ 11/29/2019

Mining Approximate Acyclic Schemes from Relations

Acyclic schemes have numerous applications in databases and in machine l...

0 Batya Kenig, et al. ∙

∙ 08/20/2019

Data Management for Causal Algorithmic Fairness

Fairness is increasingly recognized as a critical component of machine l...

0 Babak Salimi, et al. ∙

∙ 02/21/2019

Capuchin: Causal Database Repair for Algorithmic Fairness

Fairness is increasingly recognized as a critical component of machine l...

40 Babak Salimi, et al. ∙

∙ 08/21/2018

MobilityMirror: Bias-Adjusted Transportation Datasets

We describe customized synthetic datasets for publishing mobility data. ...

0 Luke Rodriguez, et al. ∙

∙ 03/12/2018

Bias in OLAP Queries: Detection, Explanation, and Removal

On line analytical processing (OLAP) is an essential element of decision...

0 Babak Salimi, et al. ∙

∙ 03/12/2018

HypDB: Detect, Explain And Resolve Bias in OLAP

On line analytical processing (OLAP) is an essential element of decision...

0 Babak Salimi, et al. ∙

∙ 08/08/2017

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

The study of causality or causal inference - how much a given treatment ...

0 Sudeepa Roy, et al. ∙

∙ 11/06/2016

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

Causality has been recently introduced in databases, to model, character...

0 Leopoldo Bertossi, et al. ∙

∙ 09/12/2016

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

Causal inference from observational data is a subject of active research...

0 Babak Salimi, et al. ∙

∙ 02/20/2016

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

Causality has been recently introduced in databases, to model, character...

0 Babak Salimi, et al. ∙

∙ 06/13/2015

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

Causality has been recently introduced in databases, to model, character...

0 Babak Salimi, et al. ∙

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