conftrace_

observational datum

109 papers

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Co-occurring keywords

causal inference (1630) treatment effect (134) causal discovery (460) causal effect estimation (69) propensity score (47) treatment effect estimation (72) domain adaptation (4595) heterogeneous treatment effect (50) individual treatment effect (22) counterfactual reasoning (230)

Papers

Learning Treatment Effects from Observational and Experimental Data AISTATS 2023
Learning Prescriptive ReLU Networks ICML 2023
Estimating long-term causal effects from short-term experiments and long-term observational data with unobserved confounding CLEAR 2023
Optimal Treatment Regimes for Proximal Causal Learning NIPS 2023
Causal effect estimation from observational and interventional data through matrix weighted linear estimators UAI 2023
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects ICML 2023
Identifying Selection Bias from Observational Data AAAI 2023
Detecting hidden confounding in observational data using multiple environments NIPS 2023
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation NIPS 2023
Causal discovery from observational and interventional data across multiple environments NIPS 2023
Probabilities of Causation: Role of Observational Data AISTATS 2023
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score JMLR 2022
Unit Selection with Causal Diagram AAAI 2022
Enhancing Counterfactual Classification Performance via Self-Training AAAI 2022
Robust identifiability in linear structural equation models of causal inference UAI 2022
Partial Counterfactual Identification from Observational and Experimental Data ICML 2022
Policy Learning for Optimal Individualized Dose Intervals AISTATS 2022
Falsification before Extrapolation in Causal Effect Estimation NIPS 2022
Instrumental Variable Regression with Confounder Balancing ICML 2022
Estimating Social Influence from Observational Data CLEAR 2022
Imbalance-Aware Uplift Modeling for Observational Data AAAI 2022
Typing assumptions improve identification in causal discovery CLEAR 2022
A Generative Adversarial Framework for Bounding Confounded Causal Effects AAAI 2021
Learning Adjustment Sets from Observational and Limited Experimental Data AAAI 2021
High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation AISTATS 2021