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conftrace_

treatment effect estimation

90 papers

TEE

Papers

Marrying Causal Representation Learning with Dynamical Systems for Science NeurIPS 2024 Smoke and Mirrors in Causal Downstream Tasks NeurIPS 2024 Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention ICML 2024 Treatment Effects Estimation By Uniform Transformer ICLR 2024 Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NeurIPS 2024 Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects ICML 2023 Covariate balancing using the integral probability metric for causal inference ICML 2023 Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders AAAI 2023 Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators JMLR 2023 Fair Adaptive Experiments NeurIPS 2023 Image-based Treatment Effect Heterogeneity CLeaR 2023 Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions MLHC 2023 Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation AAAI 2023 Optimal Transport for Treatment Effect Estimation NeurIPS 2023 Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making NeurIPS 2023 Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023 Task-specific experimental design for treatment effect estimation ICML 2023 Variable importance matching for causal inference UAI 2023 Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability NeurIPS 2022 Causal Classification: Treatment Effect Estimation vs. Outcome Prediction JMLR 2022 Causes of Effects: Learning Individual Responses from Population Data IJCAI 2022 Coordinated Double Machine Learning ICML 2022 Counterfactual Prediction for Outcome-Oriented Treatments ICML 2022 Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge AISTATS 2022 Instrumental Variable Regression with Confounder Balancing ICML 2022