Real-world data usually confronts severe class-imbalance problems, where several majority
classes have a significantly larger presence in the training set than minority classes. One …

We study the problem of imputing missing values in a dataset, which has important
applications in many domains. The key to missing value imputation is to capture the data …

Causal discovery in the presence of missing data introduces a chicken-and-egg dilemma.
While the goal is to recover the true causal structure, robust imputation requires considering …

A bicyclic graph is a type of graph that consists of exactly two cycles. A cycle is a graph that
is a closed path where no vertices are repeated except the first and last vertices which are …