{"slug": "lifted-causal-inference", "title": "Lifted Causal Inference", "summary": "Researchers introduced parametric causal factor graphs (PCFGs) to incorporate causal knowledge into lifted probabilistic models, enabling efficient computation of causal effects in relational domains. Their Lifted Causal Inference (LCI) algorithm computes causal effects at a lifted level, significantly speeding up inference compared to propositional methods. The work also extends to partially directed PCFGs for handling partial causal knowledge, broadening the applicability of lifted causal inference.", "body_md": "arXiv:2606.28024v1 Announce Type: new\nAbstract: Lifted inference exploits indistinguishabilities in probabilistic graphical models by using a representative for indistinguishable objects, thereby speeding up query answering while maintaining exact answers. In this article, we show how lifting can be applied to efficiently compute causal effects in relational domains. More specifically, we introduce parametric causal factor graphs (PCFGs) to incorporate causal knowledge in lifted models and give a formal semantics of interventions therein. We further present the Lifted Causal Inference (LCI) algorithm to compute causal effects on a lifted level, thereby drastically speeding up causal inference compared to propositional inference, e.g., in causal Bayesian networks. In addition, we present partially directed parametric causal factor graphs (PD-PCFGs) as a generalisation of PCFGs to handle partial causal knowledge and extend LCI to perform lifted causal inference in a PD-PCFG, thereby extending the applicability of lifted causal inference to a broader range of models requiring less prior knowledge about causal relationships.", "url": "https://wpnews.pro/news/lifted-causal-inference", "canonical_source": "https://arxiv.org/abs/2606.28024", "published_at": "2026-06-29 04:00:00+00:00", "updated_at": "2026-06-29 04:11:37.280148+00:00", "lang": "en", "topics": ["machine-learning", "ai-research"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/lifted-causal-inference", "markdown": "https://wpnews.pro/news/lifted-causal-inference.md", "text": "https://wpnews.pro/news/lifted-causal-inference.txt", "jsonld": "https://wpnews.pro/news/lifted-causal-inference.jsonld"}}