Machine Learning for Causal Inference (Hardcover, 2023)

Overview of the Book.- Causal Inference Preliminary.- Causal Effect Estimation: Basic Methodologies.- Causal Inference on Graphs.- Causal Effect Estimation: Recent Progress, Challenges, and Opportunities.- Fair Machine Learning Through the Lens of Causality.- Causal Explainable AI.- Causal Domain Generalization.- Causal Inference and Natural Language Processing.- Causal Inference and Recommendations.- Causality Encourage the Identifiability of Instance-Dependent Label Noise.- Causal Interventional Time Series Forecasting on Multi-horizon and Multi-series Data.- Continual Causal Effect Estimation.- Summary.