research
∙
09/05/2023
s-ID: Causal Effect Identification in a Sub-Population
Causal inference in a sub-population involves identifying the causal eff...
share
research
∙
08/14/2022
Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables
We propose ordering-based approaches for learning the maximal ancestral ...
research
∙
08/09/2022
Causal Discovery in Probabilistic Networks with an Identifiable Causal Effect
Causal identification is at the core of the causal inference literature,...
research
∙
06/02/2022
Revisiting the General Identifiability Problem
We revisit the problem of general identifiability originally introduced ...
research
∙
05/20/2022
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
We study experiment design for the unique identification of the causal g...
research
∙
12/20/2021
Learning Bayesian Networks in the Presence of Structural Side Information
We study the problem of learning a Bayesian network (BN) of a set of var...
research
∙
10/22/2021
Causal Effect Identification with Context-specific Independence Relations of Control Variables
We study the problem of causal effect identification from observational ...
research
∙
10/22/2021
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias
We consider the problem of learning the causal MAG of a system from obse...
research
∙
10/10/2020