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Stochastic Package Queries in Probabilistic Databases
We provide methods for in-database support of decision making under unce...
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Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
Classification, a heavily-studied data-driven machine learning task, dri...
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Example-Driven User Intent Discovery: Empowering Users to Cross the SQL Barrier Through Query by Example
Traditional data systems require specialized technical skills where user...
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Diverse Data Selection under Fairness Constraints
Diversity is an important principle in data selection and summarization,...
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Causality-Guided Adaptive Interventional Debugging
Runtime nondeterminism is a fact of life in modern database applications...
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Data Invariants: On Trust in Data-Driven Systems
The reliability and proper function of data-driven applications hinge on...
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New Results for the Complexity of Resilience for Binary Conjunctive Queries with Self-Joins
The resilience of a Boolean query is the minimum number of tuples that n...
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Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity
Traditional relational data interfaces require precise structured querie...
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Explain3D: Explaining Disagreements in Disjoint Datasets
Data plays an important role in applications, analytic processes, and ma...
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Causal Testing: Finding Defects' Root Causes
Isolating and repairing unexpected or buggy software behavior typically ...
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Fairness Testing: Testing Software for Discrimination
This paper defines software fairness and discrimination and develops a t...
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The Complexity of Causality and Responsibility for Query Answers and non-Answers
An answer to a query has a well-defined lineage expression (alternativel...
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Why so? or Why no? Functional Causality for Explaining Query Answers
In this paper, we propose causality as a unified framework to explain qu...
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