1 citations · 1 across the 3 of their papers we have counts for
4 papers
LILI clustering algorithm: Limit Inferior Leaf Interval Integrated into Causal Forest for Causal Interference
Yiran Dong, Di Fan, Chuanhou Gao
Causal forest methods are powerful tools in causal inference. Similar to traditional random forest in machine learning, causal forest independently considers each causal tree. Howe…
Causal Structure Learning by Using Intersection of Markov Blankets
Yiran Dong, Chuanhou Gao
In this paper, we introduce a novel causal structure learning algorithm called Endogenous and Exogenous Markov Blankets Intersection (EEMBI), which combines the properties of Bayes…
Gaussian mixture modeling of nodes in Bayesian network according to maximal parental cliques
Yiran Dong, Chuanhou Gao
This paper uses Gaussian mixture model instead of linear Gaussian model to fit the distribution of every node in Bayesian network. We will explain why and how we use Gaussian mixtu…
ELBD: Efficient score algorithm for feature selection on latent variables of VAE
Yiran Dong, Chuanhou Gao
In this paper, we develop the notion of evidence lower bound difference (ELBD), based on which an efficient score algorithm is presented to implement feature selection on latent va…