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Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
Date | 2024.02.29. |
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Speaker | 변유정 |
- 이전글Linear Coefficient Estimation under Interaction Effect 24.03.26
- 다음글Learning Neural Networks and Tabular Datasets 24.02.29
Topic :
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
Keywords:
Causal Inference
Heterogeneous Treatment Effects Estimation
Causal Tree
Confounding Entropy
Gradient Boosting
Reference:
Tang, Caizhi, et al. "Debiased causal tree: heterogeneous treatment effects estimation with unmeasured confounding." Advances in Neural Information Processing Systems 35 (2022): 5628-5640.
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Debiased Causal Tree Heterogeneous Treatment Effects Estimation with Unmeasured Confounding.pdf (617.1K)
14회 다운로드 | DATE : 2024-03-07 15:24:50
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