heterogeneous treatment effect

Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning ICML 2023 FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation NeurIPS 2023 Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles AISTATS 2023 In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation ICML 2023 On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs ICML 2023 Stable Estimation of Heterogeneous Treatment Effects ICML 2023 Transfer learning for individual treatment effect estimation UAI 2023 Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data AISTATS 2023 An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects NeurIPS 2022 Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability NeurIPS 2022 Calibration Error for Heterogeneous Treatment Effects AISTATS 2022 Causal Imputation via Synthetic Interventions CLeaR 2022 Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding NeurIPS 2022 Differentially Private Estimation of Heterogeneous Causal Effects CLeaR 2022 Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders NeurIPS 2022 Feature selection for discovering distributional treatment effect modifiers UAI 2022 Heterogeneous Peer Effects in the Linear Threshold Model AAAI 2022 Integrative R-learner of heterogeneous treatment effects combining experimental and observational studies CLeaR 2022 Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine MLHC 2022 Non-parametric Inference Adaptive to Intrinsic Dimension CLeaR 2022 Budgeted Heterogeneous Treatment Effect Estimation ICML 2021 Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance NeurIPS 2021 Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms AISTATS 2021 On Inductive Biases for Heterogeneous Treatment Effect Estimation NeurIPS 2021 SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data NeurIPS 2021