Poster "observational data" Papers
13 papers found
Conference
Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
Shuli Zhang, Hao Zhou, Jiaqi Zheng et al.
NEURIPS 2025arXiv:2510.19517
Causal Discovery via Bayesian Optimization
Bao Duong, Sunil Gupta, Thin Nguyen
ICLR 2025arXiv:2501.14997
1
citations
Causal LLM Routing: End-to-End Regret Minimization from Observational Data
Asterios Tsiourvas, Wei Sun, Georgia Perakis
NEURIPS 2025arXiv:2505.16037
7
citations
Differentially private learners for heterogeneous treatment effects
Maresa Schröder, Valentyn Melnychuk, Stefan Feuerriegel
ICLR 2025arXiv:2503.03486
3
citations
Efficient Causal Decision Making with One-sided Feedback
Jianing Chu, Shu Yang, Wenbin Lu et al.
ICLR 2025
1
citations
Multi-Accurate CATE is Robust to Unknown Covariate Shifts
Angela Zhou, Christoph Kern, Michael Kim
ICLR 2025
3
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
Causal Inference out of Control: Estimating Performativity without Treatment Randomization
Gary Cheng, Moritz Hardt, Celestine Mendler-Dünner
ICML 2024
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
Baohong Li, Haoxuan Li, Ruoxuan Xiong et al.
ICML 2024
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
Jonas Schweisthal, Dennis Frauen, M van der Schaar et al.
ICML 2024arXiv:2406.02464
10
citations
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh et al.
ICML 2024arXiv:2406.03864
3
citations
Stable Differentiable Causal Discovery
Achille Nazaret, Justin Hong, Elham Azizi et al.
ICML 2024arXiv:2311.10263
24
citations
Statistical Inference Under Constrained Selection Bias
Santiago Cortes-Gomez, Mateo Dulce Rubio, Carlos Miguel Patiño et al.
ICML 2024arXiv:2306.03302