Results 311 to 320 of about 8,838,426 (323)

Causal Inferences and Representation of Causal Machine Learning Models

Proceedings of the 2025 4th International Conference on Artificial Intelligence and Education
openaire   +2 more sources

Machine Learning for Causal Estimation

The intersection of causal inference and machine learning (ML) has given rise to powerful tools for tackling complex empirical questions, especially in high-dimensional or highly nonlinear settings where traditional methods often fall short. This thesis develops and analyzes novel ML-based methods for estimating causal effects, with a focus on ...
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Instrumental Variables in Causal Inference and Machine Learning: A Survey

ACM Computing Surveys
Kun Kuang, Anpeng Wu
exaly  

Using machine learning to assess short term causal dependence and infer network links

Chaos, 2019
Amitava Banerjee, Rajarshi Roy, Juan G. Restrepo   +2 more
exaly  

Causal Reasoning in Machine Learning

2020
openaire   +1 more source

Causality, Anti-causality and Machine Learning

openaire   +1 more source

From Prediction to Prescription: Machine Learning and Causal Inference for the Heterogeneous Treatment Effect

Annual Review of Biomedical Data Science
Elise Dumas
exaly  

Causal Inference and Machine Learning

Mutlu Yuksel, Yigit Aydede
openaire   +1 more source

Automatic Identification of Causal Factors from Fall-Related Accident Investigation Reports Using Machine Learning and Ensemble Learning Approaches

Journal of Management in Engineering - ASCE
Javier Irizarry, Zhipeng Zhou, Jianqiang Cui   +2 more
exaly  

A Primer in Causal Machine Learning

openaire   +1 more source