
Putting Things into Context: Rich Explanations for Query Answers using Join Graphs (extended version)
In many data analysis applications, there is a need to explain why a sur...
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dameflame: A Python Library Providing Fast Interpretable Matching for Causal Inference
dameflame is a Python package for performing matching for observational...
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Aggregated Deletion Propagation for Counting Conjunctive Query Answers
We investigate the computational complexity of minimizing the source sid...
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On Multiple Semantics for Declarative Database Repairs
We study the problem of database repairs through a rulebased framework ...
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Computing Local Sensitivities of Counting Queries with Joins
Local sensitivity of a query Q given a database instance D, i.e. how muc...
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Causal Relational Learning
Causal inference is at the heart of empirical research in natural and so...
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Adaptive Hyperbox Matching for Interpretable Individualized Treatment Effect Estimation
We propose a matching method for observational data that matches units w...
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AlmostMatchingExactly for Treatment Effect Estimation under Network Interference
We propose a matching method that recovers direct treatment effects from...
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Generalized Deletion Propagation on Counting Conjunctive Query Answers
We investigate the computational complexity of minimizing the source sid...
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Interpretable AlmostMatchingExactly With Instrumental Variables
Uncertainty in the estimation of the causal effect in observational stud...
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Learning to Sample: Counting with Complex Queries
In this paper we present a suite of methods to efficiently estimate coun...
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Principles of Progress Indicators for Database Repairing
How should a cleaning system measure the amount of inconsistency in the ...
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Explaining Wrong Queries Using Small Examples
For testing the correctness of SQL queries, e.g., evaluating student sub...
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Interactive Summarization and Exploration of Top Aggregate Query Answers
We present a system for summarization and interactive exploration of hig...
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CollapsingFastLargeAlmostMatchingExactly: A Matching Method for Causal Inference
We aim to create the highest possible quality of treatmentcontrol match...
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Computing Optimal Repairs for Functional Dependencies
We investigate the complexity of computing an optimal repair of an incon...
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Analyzing Query Performance and Attributing Blame for Contentions in a Cluster Computing Framework
Analyzing contention for resources in a cluster computing environment ac...
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A Framework for Inferring Causality from MultiRelational Observational Data using Conditional Independence
The study of causality or causal inference  how much a given treatment ...
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FLAME: A Fast Largescale Almost Matching Exactly Approach to Causal Inference
A classical problem in causal inference is that of matching, where treat...
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Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases
The best current methods for exactly computing the number of satisfying ...
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Sudeepa Roy
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