"causal effect estimation" Papers
12 papers found
Conference
An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation
Uzair Akbar, Niki Kilbertus, Hao Shen et al.
NEURIPS 2025spotlightarXiv:2510.25128
Do-PFN: In-Context Learning for Causal Effect Estimation
Jake Robertson, Arik Reuter, Siyuan Guo et al.
NEURIPS 2025spotlightarXiv:2506.06039
14
citations
Time After Time: Deep-Q Effect Estimation for Interventions on When and What to do
Yoav Wald, Mark Goldstein, Yonathan Efroni et al.
ICLR 2025arXiv:2503.15890
Turning the Tables: Enabling Backward Transfer via Causal-Aware LoRA in Continual Learning
Chaoyang Li, Runze Ye, Jianyang Qin et al.
NEURIPS 2025
Automating the Selection of Proxy Variables of Unmeasured Confounders
Feng Xie, Zhengming Chen, Shanshan Luo et al.
ICML 2024spotlightarXiv:2405.16130
3
citations
Conditional Common Entropy for Instrumental Variable Testing and Partial Identification
Ziwei Jiang, Murat Kocaoglu
ICML 2024
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
Weilin Chen, Ruichu Cai, Zeqin Yang et al.
ICML 2024arXiv:2405.03342
15
citations
Evaluating Instrument Validity using the Principle of Independent Mechanisms
Patrick F. Burauel
ICML 2024
Identifiability of Direct Effects from Summary Causal Graphs
Simon Ferreira, Charles Assaad
AAAI 2024paperarXiv:2306.16958
13
citations
Learning Decision Policies with Instrumental Variables through Double Machine Learning
Bill Daqian Shao, Ashkan Soleymani, Francesco Quinzan et al.
ICML 2024arXiv:2405.08498
2
citations
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
Abbvavaram Gowtham Reddy, Vineeth N Balasubramanian
AAAI 2024paperarXiv:2211.04370
1
citations
On Online Experimentation without Device Identifiers
Shiv Shankar, Ritwik Sinha, Madalina Fiterau
ICML 2024