activity
20232026
most citedWhen is Shapley Value Computation a Matter of Counting?

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DB2026

How Hard is it to Decide if a Fact is Relevant to a Query?

Meghyn Bienvenu, Diego Figueira, Pierre Lafourcade

We consider the following fundamental problem: given a database D, Boolean conjunctive query (CQ) q, and fact f in D, decide whether f is relevant to q wrt. D, i.e., does f belong…

cs.DB2026

Responsibility Measures for Conjunctive Queries with Negation

Meghyn Bienvenu, Diego Figueira, Pierre Lafourcade

We contribute to the recent line of work on responsibility measures that quantify the contributions of database facts to obtaining a query result. In contrast to existing work whic…

cs.AI2025

Tractable Responsibility Measures for Ontology-Mediated Query Answering

Meghyn Bienvenu, Diego Figueira, Pierre Lafourcade

Recent work on quantitative approaches to explaining query answers employs responsibility measures to assign scores to facts in order to quantify their respective contributions to…

cs.DB2025

Shapley Revisited: Tractable Responsibility Measures for Query Answers

Meghyn Bienvenu, Diego Figueira, Pierre Lafourcade

The Shapley value, originating from cooperative game theory, has been employed to define responsibility measures that quantify the contributions of database facts to obtaining a gi…

cs.AI2024

Shapley Value Computation in Ontology-Mediated Query Answering

Meghyn Bienvenu, Diego Figueira, Pierre Lafourcade

The Shapley value was originally introduced in cooperative game theory as a wealth distribution mechanism. It has since found use in knowledge representation and databases for the…

cs.DB2023★ 1 cited

When is Shapley Value Computation a Matter of Counting?

Meghyn Bienvenu, Diego Figueira, Pierre Lafourcade

The Shapley value provides a natural means of quantifying the contributions of facts to database query answers. In this work, we seek to broaden our understanding of Shapley value…