Causal Inference with Complex Treatments: A Survey
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Yingrong, Li, Haoxuan, Zhu, Minqin, Wu, Anpeng, Xiong, Ruoxuan, Wu, Fei, Kuang, Kun |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Sequential Treatment Effect Estimation with Unmeasured Confounders
por: Wang, Yingrong, et al.
Publicado: (2025)
por: Wang, Yingrong, et al.
Publicado: (2025)
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression
por: Wu, Anpeng, et al.
Publicado: (2024)
por: Wu, Anpeng, et al.
Publicado: (2024)
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
por: Wang, Yingrong, et al.
Publicado: (2024)
por: Wang, Yingrong, et al.
Publicado: (2024)
Causality for Large Language Models
por: Wu, Anpeng, et al.
Publicado: (2024)
por: Wu, Anpeng, et al.
Publicado: (2024)
Learning Individual Treatment Effects under Heterogeneous Interference in Networks
por: Zhao, Ziyu, et al.
Publicado: (2022)
por: Zhao, Ziyu, et al.
Publicado: (2022)
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation
por: Zhu, Minqin, et al.
Publicado: (2024)
por: Zhu, Minqin, et al.
Publicado: (2024)
Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference
por: Chen, Qianyi, et al.
Publicado: (2026)
por: Chen, Qianyi, et al.
Publicado: (2026)
Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
por: Liang, Zihan, et al.
Publicado: (2025)
por: Liang, Zihan, et al.
Publicado: (2025)
Doubly Robust Proximal Causal Learning for Continuous Treatments
por: Wu, Yong, et al.
Publicado: (2023)
por: Wu, Yong, et al.
Publicado: (2023)
Partial Identification under Missing Data Using Weak Shadow Variables from Pretrained Models
por: Chen, Hongyu, et al.
Publicado: (2026)
por: Chen, Hongyu, et al.
Publicado: (2026)
Causal Representation Learning with Optimal Compression under Complex Treatments
por: Liang, Wanting, et al.
Publicado: (2026)
por: Liang, Wanting, et al.
Publicado: (2026)
Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects
por: Bargagli-Stoffi, Falco J., et al.
Publicado: (2020)
por: Bargagli-Stoffi, Falco J., et al.
Publicado: (2020)
Learning Dynamic Representations and Policies from Multimodal Clinical Time-Series with Informative Missingness
por: Liang, Zihan, et al.
Publicado: (2026)
por: Liang, Zihan, et al.
Publicado: (2026)
Causal Inference with Latent Variables: Recent Advances and Future Prospectives
por: Zhu, Yaochen, et al.
Publicado: (2024)
por: Zhu, Yaochen, et al.
Publicado: (2024)
A New Causal Rule Learning Approach to Interpretable Estimation of Heterogeneous Treatment Effect
por: Wu, Ying, et al.
Publicado: (2023)
por: Wu, Ying, et al.
Publicado: (2023)
New User Event Prediction Through the Lens of Causal Inference
por: Yuchi, Henry Shaowu, et al.
Publicado: (2024)
por: Yuchi, Henry Shaowu, et al.
Publicado: (2024)
Valid Inference After Causal Discovery
por: Gradu, Paula, et al.
Publicado: (2022)
por: Gradu, Paula, et al.
Publicado: (2022)
A Semiparametric Approach to Causal Inference
por: Zhang, Archer Gong, et al.
Publicado: (2024)
por: Zhang, Archer Gong, et al.
Publicado: (2024)
Statistical Inference for Fuzzy Clustering
por: Wu, Qiuyi, et al.
Publicado: (2026)
por: Wu, Qiuyi, et al.
Publicado: (2026)
Can We Validate Counterfactual Estimations in the Presence of General Network Interference?
por: Shirani, Sadegh, et al.
Publicado: (2025)
por: Shirani, Sadegh, et al.
Publicado: (2025)
Causal Inference with the "Napkin Graph"
por: Guo, Anna, et al.
Publicado: (2025)
por: Guo, Anna, et al.
Publicado: (2025)
Data-Driven Switchback Experiments: Theoretical Tradeoffs and Empirical Bayes Designs
por: Xiong, Ruoxuan, et al.
Publicado: (2024)
por: Xiong, Ruoxuan, et al.
Publicado: (2024)
Integrating Active Learning in Causal Inference with Interference: A Novel Approach in Online Experiments
por: Zhu, Hongtao, et al.
Publicado: (2024)
por: Zhu, Hongtao, et al.
Publicado: (2024)
Causal Inference for Preprocessed Outcomes with an Application to Functional Connectivity
por: Wang, Zihang, et al.
Publicado: (2026)
por: Wang, Zihang, et al.
Publicado: (2026)
Stable Causal Discovery via Directed Acyclic Graph Aggregation
por: Wu, Yunan, et al.
Publicado: (2026)
por: Wu, Yunan, et al.
Publicado: (2026)
Probabilistic Modelling is Sufficient for Causal Inference
por: Mlodozeniec, Bruno, et al.
Publicado: (2025)
por: Mlodozeniec, Bruno, et al.
Publicado: (2025)
Controllable Generative Sandbox for Causal Inference
por: Zhang, Qi, et al.
Publicado: (2026)
por: Zhang, Qi, et al.
Publicado: (2026)
Causality-Encoded Diffusion Models for Interventional Sampling and Edge Inference
por: Chen, Li, et al.
Publicado: (2026)
por: Chen, Li, et al.
Publicado: (2026)
A Latent Causal Inference Framework for Ordinal Variables
por: Scauda, Martina, et al.
Publicado: (2025)
por: Scauda, Martina, et al.
Publicado: (2025)
Counterfactual Generative Models for Time-Varying Treatments
por: Wu, Shenghao, et al.
Publicado: (2023)
por: Wu, Shenghao, et al.
Publicado: (2023)
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
por: Liu, Siyan, et al.
Publicado: (2024)
por: Liu, Siyan, et al.
Publicado: (2024)
Causal Machine Learning: A Survey and Open Problems
por: Kaddour, Jean, et al.
Publicado: (2022)
por: Kaddour, Jean, et al.
Publicado: (2022)
HNCI: High-Dimensional Network Causal Inference
por: Du, Wenqin, et al.
Publicado: (2024)
por: Du, Wenqin, et al.
Publicado: (2024)
Bayesian Causal Inference with Gaussian Process Networks
por: Giudice, Enrico, et al.
Publicado: (2024)
por: Giudice, Enrico, et al.
Publicado: (2024)
An Overview of Causal Inference using Kernel Embeddings
por: Sejdinovic, Dino
Publicado: (2024)
por: Sejdinovic, Dino
Publicado: (2024)
A Sensitivity Approach to Causal Inference Under Limited Overlap
por: Ma, Yuanzhe, et al.
Publicado: (2025)
por: Ma, Yuanzhe, et al.
Publicado: (2025)
Testing Generalizability in Causal Inference
por: Manela, Daniel de Vassimon, et al.
Publicado: (2024)
por: Manela, Daniel de Vassimon, et al.
Publicado: (2024)
Regularizing Extrapolation in Causal Inference
por: Arbour, David, et al.
Publicado: (2025)
por: Arbour, David, et al.
Publicado: (2025)
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
por: Li, Michael Lingzhi, et al.
Publicado: (2024)
por: Li, Michael Lingzhi, et al.
Publicado: (2024)
Inference of Causal Networks using a Topological Threshold
por: Barroso, Filipe, et al.
Publicado: (2024)
por: Barroso, Filipe, et al.
Publicado: (2024)
Ejemplares similares
-
Sequential Treatment Effect Estimation with Unmeasured Confounders
por: Wang, Yingrong, et al.
Publicado: (2025) -
Generalized Encouragement-Based Instrumental Variables for Counterfactual Regression
por: Wu, Anpeng, et al.
Publicado: (2024) -
Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
por: Wang, Yingrong, et al.
Publicado: (2024) -
Causality for Large Language Models
por: Wu, Anpeng, et al.
Publicado: (2024) -
Learning Individual Treatment Effects under Heterogeneous Interference in Networks
por: Zhao, Ziyu, et al.
Publicado: (2022)