Variable Elimination for Forgetting in Probabilistic Graphical Models - A Work in ProgressOpen Access

Braun, Tanya; Gehrke, Marcel; Sauerwald, Kai; Speller, Jan

Forschungsartikel in Online-Sammlung (Konferenz) | Peer reviewed

Zusammenfassung

In this article, we take the operators that make up variable elimination in probabilistic graphical models and reinterpret them as forgetting operators in the vein of marginalisation for forgetting in logic. As such, we define the inference task of forgetting in probabilistic graphical models and provide operators to solve the task, discussing effects on complexity versus variable elimination for probabilistic inference. In addition, we consider different properties for forgetting in probabilistic graphical models, arguing whether variable elimination as forgetting fulfils them. We also discuss the limits of forgetting using variable elimination as well as other dimensions and approaches to forgetting in probabilistic graphical models.

Details zur Publikation

Name des RepositoriumsCEUR Workshop Proceedings
Herausgeber*innenBeierle, Christoph; Hahn, Alexander; Kern-Isberner, Gabriele; Kutz, Oliver; Saribatur, Zeynep G.; Sauerwald, Kai; Spiegel, Lars-Philllip
BuchtitelJoint proceedings of the Workshop on Theory and Methods for Abstraction (THEMA 2026) and the Workshop on Modularity and Splitting Techniques for Knowledge Representation and Reasoning (MoST 2026) at the 9th Federated Logic Conference (FLoC 2026)
Statusakzeptiert / in Druck (unveröffentlicht)
Veröffentlichungsjahr2026
Sprache, in der die Publikation verfasst istEnglisch
KonferenzMoST-26 Workshop on Modularity and Splitting Techniques for Knowledge Representation and Reasoning, 18 July, 2026, Lisbon, Portugal
Stichwörterprobabilistic inference; variable elimination; marginalisation; forgetting; factor graphs

Autor*innen der Universität Münster

Braun, Tanya
Speller, Jan