6 citations · 9 across the 10 of their papers we have counts for
4 papers · 2 filters
Optimal Correction Sets for Provable Redress of Contestable Causal Discovery
Fabrizio Russo, Giuseppe Mazzotta, Carmine Dodaro +2
Constraint-based causal discovery relies on conditional-independence (CI) tests that may conflict in finite samples, leaving no causal graph that satisfies them all. Causal Assumpt…
A Unifying Perspective on Causal World Models: From Observations to Representations to Structure
Avinash Kori, Fabrizio Russo
World Models (WM) are increasingly seen as a foundation for intelligent agents that can predict, plan, and act beyond their training distribution. In this paper, we study WMs from…
Operationalising Relative Causal Knowledge: Backbone Identifiability from Private Reports on a Shared Outcome
Fabrizio Russo, Mark Somers
The Relativity of Causal Knowledge (RCK) explains how a network of agents with different structural causal models can exchange causal knowledge through a shared interventionally co…
Leveraging Large Language Models for Causal Discovery: a Constraint-based, Argumentation-driven Approach
Zihao Li, Fabrizio Russo
Causal discovery seeks to uncover causal relations from data, typically represented as causal graphs, and is essential for predicting the effects of interventions. While expert kno…