Co-occurring keywords · papers mentioning both
Papers
Marrying Causal Representation Learning with Dynamical Systems for Science
NeurIPS 2024
Smoke and Mirrors in Causal Downstream Tasks
NeurIPS 2024
Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention
ICML 2024
Treatment Effects Estimation By Uniform Transformer
ICLR 2024
Using Surrogates in Covariate-adjusted Response-adaptive Randomization Experiments with Delayed Outcomes
NeurIPS 2024
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effects
ICML 2023
Covariate balancing using the integral probability metric for causal inference
ICML 2023
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
AAAI 2023
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
JMLR 2023
Fair Adaptive Experiments
NeurIPS 2023
Image-based Treatment Effect Heterogeneity
CLeaR 2023
Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions
MLHC 2023
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation
AAAI 2023
Optimal Transport for Treatment Effect Estimation
NeurIPS 2023
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
NeurIPS 2023
Safe Sequential Testing and Effect Estimation in Stratified Count Data
AISTATS 2023
Task-specific experimental design for treatment effect estimation
ICML 2023
Variable importance matching for causal inference
UAI 2023
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
NeurIPS 2022
Causal Classification: Treatment Effect Estimation vs. Outcome Prediction
JMLR 2022
Causes of Effects: Learning Individual Responses from Population Data
IJCAI 2022
Coordinated Double Machine Learning
ICML 2022
Counterfactual Prediction for Outcome-Oriented Treatments
ICML 2022
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge
AISTATS 2022
Instrumental Variable Regression with Confounder Balancing
ICML 2022