Ruichu Cai

Identification of Causal Relationships in Linear Cyclic Models with Latent Variables

Matching without Group Barrier for Heterogeneous Treatment Effect Estimation

Adjusting Prediction Model Through Wasserstein Geodesic for Causal Inference

Causal Discovery under Changing Mechanisms: A Unified Graphical Approach

On the Identification of Temporal Causal Representation with Instantaneous Dependence

Towards Identifiability of Hierarchical Temporal Causal Representation Learning

Online Time Series Forecasting with Theoretical Guarantees

Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations

Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning

Query-Aware Subgraph Packing: A Knapsack Optimization Paradigm for Graph Retrieval-Augmented Generation

Optimal Transport for Reducing Bias in Causal Inference without Data Splitting

Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport