11 citations · 28 across the 6 of their papers we have counts for
7 papers
Transport-based Counterfactual Models
Lucas de Lara, Alberto González-Sanz, Nicholas Asher +2
Counterfactual frameworks have grown popular in machine learning for both explaining algorithmic decisions but also defining individual notions of fairness, more intuitive than typ…
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…
On Relating 'Why?' and 'Why Not?' Explanations
Alexey Ignatiev, Nina Narodytska, Nicholas Asher +1
Explanations of Machine Learning (ML) models often address a 'Why?' question. Such explanations can be related with selecting feature-value pairs which are sufficient for the predi…
Bias in Semantic and Discourse Interpretation
Nicholas Asher, Soumya Paul
In this paper, we show how game-theoretic work on conversation combined with a theory of discourse structure provides a framework for studying interpretive bias. Interpretive bias…
Infinite games with uncertain moves
Nicholas Asher, Soumya Paul
We study infinite two-player games where one of the players is unsure about the set of moves available to the other player. In particular, the set of moves of the other player is a…
Testing SDRT's Right Frontier
Stergos Afantenos, Nicholas Asher
The Right Frontier Constraint (RFC), as a constraint on the attachment of new constituents to an existing discourse structure, has important implications for the interpretation of…