conftrace_

treatment effect estimation

72 papers

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Also known as

TEE

Co-occurring keywords

causal inference (1630) treatment effect (134) representation learning (6206) observational datum (109) counterfactual reasoning (230) heterogeneous treatment effect (50) conditional average treatment effect (27) individual treatment effect (22) propensity score (47) domain adaptation (4595)

Papers

Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making NIPS 2023
Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions MLHC 2023
Image-based Treatment Effect Heterogeneity CLEAR 2023
Sample Constrained Treatment Effect Estimation NIPS 2022
Coordinated Double Machine Learning ICML 2022
Predictive State Propensity Subclassification (PSPS): A causal inference algorithm for data-driven propensity score stratification CLEAR 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation NIPS 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability NIPS 2022
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge AISTATS 2022
Causal Classification: Treatment Effect Estimation vs. Outcome Prediction JMLR 2022
Causes of Effects: Learning Individual Responses from Population Data IJCAI 2022
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI MIDL 2022
Counterfactual Prediction for Outcome-Oriented Treatments ICML 2022
Instrumental Variable Regression with Confounder Balancing ICML 2022
Orthogonal Statistical Learning with Self-Concordant Loss COLT 2022
Conditional Distributional Treatment Effect with Kernel Conditional Mean Embeddings and U-Statistic Regression ICML 2021
Learning Faithful Representations of Causal Graphs IJCNLP 2021
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance NIPS 2021
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference JMLR 2021
Causal Effect Inference for Structured Treatments NIPS 2021
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding ICML 2021
Learning Generalized Gumbel-max Causal Mechanisms NIPS 2021
Learning Faithful Representations of Causal Graphs ACL 2021
Machine Learning for Variance Reduction in Online Experiments NIPS 2021
On Inductive Biases for Heterogeneous Treatment Effect Estimation NIPS 2021