Biwei Huang

20

Papers

22

Total Citations

Papers (20)

Federated Causal Discovery from Heterogeneous Data

Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability

Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders

Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models

Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations

Optimal Kernel Choice for Score Function-based Causal Discovery

An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation

Score-Based Causal Discovery of Latent Variable Causal Models

Learning World Models with Identifiable Factorization

Generator Identification for Linear SDEs with Additive and Multiplicative Noise

Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models

Multi-domain Causal Structure Learning in Linear Systems

Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering

Domain Adaptation as a Problem of Inference on Graphical Models

Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs

Latent Hierarchical Causal Structure Discovery with Rank Constraints

Factored Adaptation for Non-Stationary Reinforcement Learning

Identification of Nonlinear Latent Hierarchical Models

Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach