Add to ORKGOne of the core assumptions in causal discovery is the faithfulness assumption, i.e., assuming that independencies found in the data are due to separations in the true causal graph. This assumption can, however, be violated in many ways, including xor connections, deterministic functions or cancelling paths. In this work, we propose a weaker assumption that we call $2$-adjacency faithfulness. In contrast to adjacency faithfulness, which assumes that there is no conditional independence between each pair of variables that are connected in the causal graph, we only require no conditional independence between a node and a subset of its Markov blanket that can contain up to two nodes. Equivalently, we adapt orientation faithfulness to this sett...
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
We study one of the simplest causal prediction algorithms that uses only conditional independences e...
Within the causal modeling literature, debates about the Causal Faithfulness Condition (CFC) have co...
One of the core assumptions in causal discovery is the faithfulness assumption-i.e. assuming that in...
One of the core assumptions in causal discovery is the faithfulness assumption—i.e. assuming that ...
One of the core assumptions in causal discovery is the faithfulness assumption---i.e. assuming that ...
Most causal discovery algorithms in the literature exploit an assumption usually referred to as the ...
Independence of Conditionals (IC) has recently been proposed as a basic rule for causal structure le...
Independence of Conditionals (IC) has recently been proposed as a basic rule for causal structure le...
AbstractThis paper presents an extension to the Conservative PC algorithm which is able to detect vi...
In the causal inference framework of Spirtes, Glymour, and Scheines (SGS), inferences about causal r...
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
Much of the recent work on the epistemology of causation has centered on two assumptions, known as ...
Many algorithms proposed in the machine learning community for inferring causality from data are gro...
Endre Begby and Kathleen Creel for ongoing discussion and feedback on drafts, and to Creel for prese...
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
We study one of the simplest causal prediction algorithms that uses only conditional independences e...
Within the causal modeling literature, debates about the Causal Faithfulness Condition (CFC) have co...
One of the core assumptions in causal discovery is the faithfulness assumption-i.e. assuming that in...
One of the core assumptions in causal discovery is the faithfulness assumption—i.e. assuming that ...
One of the core assumptions in causal discovery is the faithfulness assumption---i.e. assuming that ...
Most causal discovery algorithms in the literature exploit an assumption usually referred to as the ...
Independence of Conditionals (IC) has recently been proposed as a basic rule for causal structure le...
Independence of Conditionals (IC) has recently been proposed as a basic rule for causal structure le...
AbstractThis paper presents an extension to the Conservative PC algorithm which is able to detect vi...
In the causal inference framework of Spirtes, Glymour, and Scheines (SGS), inferences about causal r...
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
Much of the recent work on the epistemology of causation has centered on two assumptions, known as ...
Many algorithms proposed in the machine learning community for inferring causality from data are gro...
Endre Begby and Kathleen Creel for ongoing discussion and feedback on drafts, and to Creel for prese...
AbstractThe Markov condition describes the conditional independence relations present in a causal mo...
We study one of the simplest causal prediction algorithms that uses only conditional independences e...
Within the causal modeling literature, debates about the Causal Faithfulness Condition (CFC) have co...