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Heterogeneous Treatment Effect Estimation
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Heterogeneous treatment effect (HTE) estimation is the task of quantifying how treatment effects vary across different individuals or subgroups.
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TabPFN: One Model to Rule Them All?
Discretion in the Loop: Human Expertise in Algorithm-Assisted College Advising
Dynamic Regularized CBDT: Variance-Calibrated Causal Boosting for Interpretable Heterogeneous Treatment Effects
Class flipping for uplift modeling and Heterogeneous Treatment Effect estimation on imbalanced RCT data
Is merging worth it? Securely evaluating the information gain for causal dataset acquisition
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution Populations
Deep Learning for Causal Inference: A Comparison of Architectures for Heterogeneous Treatment Effect Estimation
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation
Heterogeneous treatment effect estimation with subpopulation identification for personalized medicine in opioid use disorder
Individualized Multi-Treatment Response Curves Estimation using RBF-net with Shared Neurons
Heterogeneous treatment effect estimation with high-dimensional data in public policy evaluation -- an application to the conditioning of cash transfers in Morocco using causal machine learning
Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model
Fairness Implications of Heterogeneous Treatment Effect Estimation with Machine Learning Methods in Policy-making
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data
In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
Data-Driven Estimation of Heterogeneous Treatment Effects
Heterogeneous Treatment Effect Estimation for Observational Data using Model-based Forests
Improving Data-driven Heterogeneous Treatment Effect Estimation Under Structure Uncertainty
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
Efficient Heterogeneous Treatment Effect Estimation With Multiple Experiments and Multiple Outcomes
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles
GCF: Generalized Causal Forest for Heterogeneous Treatment Effect Estimation in Online Marketplace
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game
Heterogeneous Treatment Effect Estimation using machine learning for Healthcare application: tutorial and benchmark
The Role of "Live" in Livestreaming Markets: Evidence Using Orthogonal Random Forest
On Inductive Biases for Heterogeneous Treatment Effect Estimation
Counterfactual Learning to Rank using Heterogeneous Treatment Effect Estimation
Learning Triggers for Heterogeneous Treatment Effects
Non-Parametric Inference Adaptive to Intrinsic Dimension
Local Linear Forests
Quasi-Oracle Estimation of Heterogeneous Treatment Effects
Some methods for heterogeneous treatment effect estimation in high-dimensions
Generalized Random Forests
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