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causal effect estimation

69 papers

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Co-occurring keywords

causal inference (1619) observational datum (109) causal effect (107) graphical model (863) treatment effect (134) instrumental variable (75) causal discovery (459) causal graph (137) large language model (12755) counterfactual reasoning (224)

Papers

Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects AISTATS 2022
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference AISTATS 2022
On the Assumptions of Synthetic Control Methods AISTATS 2022
Partially adaptive regularized multiple regression analysis for estimating linear causal effects UAI 2022
Weak Separation in Mixture Models and Implications for Principal Stratification AISTATS 2022
Causal Aggregation: Estimation and Inference of Causal Effects by Constraint-Based Data Fusion JMLR 2022
Ancestral Instrument Method for Causal Inference without Complete Knowledge IJCAI 2022
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges IJCAI 2022
Unsupervised Editing for Counterfactual Stories AAAI 2022
CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing EMNLP 2022
Finding and Listing Front-door Adjustment Sets NIPS 2022
Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies NIPS 2022
Scalable Sensitivity and Uncertainty Analyses for Causal-Effect Estimates of Continuous-Valued Interventions NIPS 2022
Differentially Private Estimation of Heterogeneous Causal Effects CLEAR 2022
A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models NIPS 2021
Multi-Cause Effect Estimation with Disentangled Confounder Representation IJCAI 2021
Learning Adjustment Sets from Observational and Limited Experimental Data AAAI 2021
Estimating Identifiable Causal Effects through Double Machine Learning AAAI 2021
Uplift Modeling with High Class Imbalance ACML 2021
Efficient Online Estimation of Causal Effects by Deciding What to Observe NIPS 2021
Necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables NIPS 2021
A Survey of Online Hate Speech through the Causal Lens EMNLP 2021
Bayesian Model Averaging for Causality Estimation and its Approximation based on Gaussian Scale Mixture Distributions AISTATS 2021
Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction ICML 2021
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models UAI 2020