treatment effect estimation

Flexible Functional Treatment Effect Estimation JMLR 2026 Improving RCT-Based Treatment Effect Estimation Under Covariate Mismatch via Calibrated Alignment UAI 2026 Active Feature Acquisition for Personalised Treatment Assignment AISTATS 2025 Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference ICLR 2025 Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response JMLR 2025 Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective ICML 2025 Evaluating Prediction-based Interventions with Human Decision Makers In Mind AISTATS 2025 Language Models as Causal Effect Generators EMNLP 2025 Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation (Extended Abstract) COLT 2025 Adaptive Experiment Design with Synthetic Controls AISTATS 2024 Adaptive Instrument Design for Indirect Experiments ICLR 2024 A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective ICML 2024 Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm NeurIPS 2024 Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation ICLR 2024 Calibrated and Conformal Propensity Scores for Causal Effect Estimation UAI 2024 Causal Contrastive Learning for Counterfactual Regression Over Time NeurIPS 2024 Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects NeurIPS 2024 Defining Expertise: Applications to Treatment Effect Estimation ICLR 2024 Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation AISTATS 2024 Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024 Exploiting Geometry for Treatment Effect Estimation via Optimal Transport AAAI 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024 Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data AISTATS 2024 KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs AAAI 2024 Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias ICML 2024