
Matching a Desired Causal State via Shift Interventions
Transforming a causal system from a given initial state to a desired tar...
read it

The DeCAMFounder: NonLinear Causal Discovery in the Presence of Hidden Variables
Many realworld decisionmaking tasks require learning casual relationsh...
read it

Efficient Permutation Discovery in Causal DAGs
The problem of learning a directed acyclic graph (DAG) up to Markov equi...
read it

Causal Imputation via Synthetic Interventions
Consider the problem of determining the effect of a drug on a specific c...
read it

Active Structure Learning of Causal DAGs via Directed Clique Tree
A growing body of work has begun to study intervention design for effici...
read it

OrderingBased Causal Structure Learning in the Presence of Latent Variables
We consider the task of learning a causal graph in the presence of laten...
read it

PermutationBased Causal Structure Learning with Unknown Intervention Targets
We consider the problem of estimating causal DAG models from a mix of ob...
read it

Size of Interventional Markov Equivalence Classes in Random DAG Models
Directed acyclic graph (DAG) models are popular for capturing causal rel...
read it

ABCDStrategy: Budgeted Experimental Design for Targeted Causal Structure Discovery
Determining the causal structure of a set of variables is critical for b...
read it

Direct Estimation of Differences in Causal Graphs
We consider the problem of estimating the differences between two causal...
read it
Chandler Squires
is this you? claim profile