activity
20102022
most citedAn Algebraic Theory of Complexity for Discrete Optimisation

48 citations · 232 across the 19 of their papers we have counts for

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9 papers · 1 filter

cs.AI2022★ 3 cited

On Computing Probabilistic Abductive Explanations

Yacine Izza, Xuanxiang Huang, Alexey Ignatiev +3

The most widely studied explainable AI (XAI) approaches are unsound. This is the case with well-known model-agnostic explanation approaches, and it is also the case with approaches…

cs.AI2022★ 8 cited

Provably Precise, Succinct and Efficient Explanations for Decision Trees

Yacine Izza, Alexey Ignatiev, Nina Narodytska +2

Decision trees (DTs) embody interpretable classifiers. DTs have been advocated for deployment in high-risk applications, but also for explaining other complex classifiers. Neverthe…

cs.AI2021★ 9 cited

Efficient Explanations for Knowledge Compilation Languages

Xuanxiang Huang, Yacine Izza, Alexey Ignatiev +3

Knowledge compilation (KC) languages find a growing number of practical uses, including in Constraint Programming (CP) and in Machine Learning (ML). In most applications, one natur…

cs.AI2020

Strengthening neighbourhood substitution

Martin C. Cooper

Domain reduction is an essential tool for solving the constraint satisfaction problem (CSP). In the binary CSP, neighbourhood substitution consists in eliminating a value if there…

cs.AI2016★ 14 cited

Simple epistemic planning: generalised gossiping

Martin C. Cooper, Andreas Herzig, Faustine Maffre +2

The gossip problem, in which information (known as secrets) must be shared among a certain number of agents using the minimum number of calls, is of interest in the conception of c…

cs.AI2014★ 1 cited

On Backdoors To Tractable Constraint Languages

Clement Carbonnel, Martin C. Cooper, Emmanuel Hebrard

In the context of CSPs, a strong backdoor is a subset of variables such that every complete assignment yields a residual instance guaranteed to have a specified property. If the pr…

cs.AI2012

A Dichotomy for 2-Constraint Forbidden CSP Patterns

Martin C. Cooper, Guillaume Escamocher

Although the CSP (constraint satisfaction problem) is NP-complete, even in the case when all constraints are binary, certain classes of instances are tractable. We study classes of…

cs.AI2011★ 24 cited

The tractability of CSP classes defined by forbidden patterns

David A. Cohen, Martin C. Cooper, Páidí Creed +1

The constraint satisfaction problem (CSP) is a general problem central to computer science and artificial intelligence. Although the CSP is NP-hard in general, considerable effort…

cs.AI2010★ 43 cited

Hybrid tractability of soft constraint problems

Martin C. Cooper, Stanislav Zivny

The constraint satisfaction problem (CSP) is a central generic problem in computer science and artificial intelligence: it provides a common framework for many theoretical problems…