"treatment effect estimation" Papers
17 papers found
Conference
Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls
Qinwei Yang, Jingyi Li, Peng Wu
NEURIPS 2025arXiv:2508.03282
Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference
Anpeng Wu, Haiyi Qiu, Zhengming Chen et al.
ICLR 2025
3
citations
Coupling Generative Modeling and an Autoencoder with the Causal Bridge
Ruolin Meng, Ming-Yu Chung, Dhanajit Brahma et al.
NEURIPS 2025arXiv:2509.25599
It’s Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation
Jikai Jin, Lester Mackey, Vasilis Syrgkanis
NEURIPS 2025arXiv:2507.02275
1
citations
Learning Counterfactual Outcomes Under Rank Preservation
Peng Wu, Haoxuan Li, Chunyuan Zheng et al.
NEURIPS 2025arXiv:2502.06398
2
citations
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding
Yuchen Ma, Dennis Frauen, Jonas Schweisthal et al.
NEURIPS 2025arXiv:2507.02843
3
citations
Prediction-Powered Causal Inferences
Riccardo Cadei, Ilker Demirel, Piersilvio De Bartolomeis et al.
NEURIPS 2025arXiv:2502.06343
6
citations
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
Konstantin Hess, Stefan Feuerriegel
ICLR 2025arXiv:2410.03514
6
citations
Treatment Effect Estimation for Optimal Decision-Making
Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal et al.
NEURIPS 2025arXiv:2505.13092
5
citations
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
Masahiro Kato, Oga Akihiro, Wataru Komatsubara et al.
ICML 2024arXiv:2403.03589
8
citations
A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
Baohong Li, Haoxuan Li, Anpeng Wu et al.
ICML 2024
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation
Yinjun Wu, Mayank Keoliya, Kan Chen et al.
ICML 2024spotlightarXiv:2406.00611
3
citations
Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
Aaron Fisher
ICML 2024
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
Ruoqi Liu, Lingfei Wu, Ping Zhang
AAAI 2024paperarXiv:2403.03791
3
citations
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
Baohong Li, Haoxuan Li, Ruoxuan Xiong et al.
ICML 2024
Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
Jiaqi Zhang, Joel Jennings, Agrin Hilmkil et al.
ICML 2024
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model
Shunsuke Horii, Yoichi Chikahara
AAAI 2024paperarXiv:2312.10435
6
citations