conftrace_

conditional average treatment effect

27 papers

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Also known as

CATE

Co-occurring keywords

causal inference (1630) heterogeneous treatment effect (50) treatment effect estimation (72) instrumental variable (75) representation learning (6206) distributional treatment effect (4) doubly robust (32) observational datum (109) treatment effect (134) deep neural network (1803)

Papers

ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments AAAI 2025
Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis WACV 2025
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators NIPS 2024
Benchmarking Observational Studies with Experimental Data under Right-Censoring AISTATS 2024
Causal Q-Aggregation for CATE Model Selection AISTATS 2024
Estimating Conditional Average Treatment Effects via Sufficient Representation Learning IJCAI 2024
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation AISTATS 2024
Learning to Rank for Optimal Treatment Allocation Under Resource Constraints AISTATS 2024
A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding NIPS 2024
Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data NIPS 2024
Robust and Agnostic Learning of Conditional Distributional Treatment Effects AISTATS 2023
Estimating Conditional Average Treatment Effects with Missing Treatment Information AISTATS 2023
B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding ICML 2023
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects ICML 2023
Conformal Meta-learners for Predictive Inference of Individual Treatment Effects NIPS 2023
Proximal Causal Learning of Conditional Average Treatment Effects ICML 2023
Image-based Treatment Effect Heterogeneity CLEAR 2023
Uncovering the Varied Impact of Behavioral Change Messages on Population Groups MLHC 2023
Personalized Prediction of Future Lesion Activity and Treatment Effect in Multiple Sclerosis from Baseline MRI MIDL 2022
Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation NIPS 2022
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding NIPS 2022
Feature selection for discovering distributional treatment effect modifiers UAI 2022
Differentially Private Estimation of Heterogeneous Causal Effects CLEAR 2022
A Tree-based Model Averaging Approach for Personalized Treatment Effect Estimation from Heterogeneous Data Sources ICML 2022
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference JMLR 2021