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

Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response JMLR 2025
Language Models as Causal Effect Generators EMNLP 2025
Adaptive Experiment Design with Synthetic Controls AISTATS 2024
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport AAAI 2024
Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs AAAI 2024
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes NIPS 2024
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation AISTATS 2024
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm NIPS 2024
Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data AISTATS 2024
Causal Contrastive Learning for Counterfactual Regression Over Time NIPS 2024
Smoke and Mirrors in Causal Downstream Tasks NIPS 2024
Marrying Causal Representation Learning with Dynamical Systems for Science NIPS 2024
Higher-Order Causal Message Passing for Experimentation with Complex Interference NIPS 2024
Causal Inference in the Closed-Loop: Marginal Structural Models for Sequential Excursion Effects NIPS 2024
Safe Sequential Testing and Effect Estimation in Stratified Count Data AISTATS 2023
Fair Adaptive Experiments NIPS 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders AAAI 2023
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making NIPS 2023
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation AAAI 2023
Covariate balancing using the integral probability metric for causal inference ICML 2023
Task-specific experimental design for treatment effect estimation ICML 2023
Variable importance matching for causal inference UAI 2023
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects ICML 2023
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators JMLR 2023