Structural Causal Models Are (Solvable by) Credal Networks

2 August 2020

Papers citing "Structural Causal Models Are (Solvable by) Credal Networks"

7 / 7 papers shown

Title
Causally Reliable Concept Bottleneck Models Giovanni De Felice Arianna Casanova Flores Francesco De Santis Silvia Santini Johannes Schneider Pietro Barbiero Alberto Termine 139 4 0 06 Mar 2025
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 129 11 0 02 Jun 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel CML 120 19 0 26 May 2023
On the Complexity of Counterfactual Reasoning Yunqiu Han Yizuo Chen Adnan Darwiche 66 7 0 24 Nov 2022
Robustness Guarantees for Credal Bayesian Networks via Constraint Relaxation over Probabilistic Circuits H. Wijk Benjie Wang Marta Z. Kwiatkowska TPM 24 1 0 11 May 2022
Partial Counterfactual Identification from Observational and Experimental Data Junzhe Zhang Jin Tian Elias Bareinboim 71 64 0 12 Oct 2021
CREPO: An Open Repository to Benchmark Credal Network Algorithms Rafael Cabañas Alessandro Antonucci 22 1 0 10 May 2021