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Elynn Chen
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Data-Driven Knowledge Transfer in Batch $Q^*$ Learning
STEFA: Semi-parametric tensor factor analysis by iteratively projected singular value decomposition
Reinforcement Learning in Latent Heterogeneous Environments
Tensor-view Topological Graph Neural Network
Time-Varying Matrix Factor Models
Community Network Auto-Regression for High-Dimensional Time Series
Statistical Inference for High-Dimensional Matrix-Variate Factor Models
Constrained Factor Models for High-Dimensional Matrix-Variate Time Series
On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification
Estimation and Inference of High-Dimensional Matrix-Valued Threshold Factor Models
High-Dimensional Structured Bandits: Minimax Regret, Estimation and Inference
Transferred $Q$ Learning
Modeling Multivariate Spatial-Temporal Data with Latent Low-Dimensional Dynamics
Low-Rank Principal Eigenmatrix Analysis
Modeling Dynamic Transport Network with Matrix Factor Models: with an Application to International Trade Flow
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