We consider Q-learning with knowledge transfer, using samples from a tar...
Reinforcement Learning (RL) has the promise of providing data-driven sup...
Modeling responses on the nodes of a large-scale network is an important...
This paper introduces a general framework of Semiparametric TEnsor FActo...
Optimal transport (OT) distances are increasingly used as loss functions...
High-dimensional multivariate spatial-temporal data arise frequently in ...
This paper considers the estimation and inference of factor loadings, la...
Sparse PCA is a widely used technique for high-dimensional data analysis...
International trade research plays an important role to inform trade pol...