Co-occurring keywords · papers mentioning both
Papers
A causal fused lasso for interpretable heterogeneous treatment effects estimation
JMLR 2026
Information-Theoretic Causal Bounds under Unmeasured Confounding
CLeaR 2026
Interpolated Stochastic Interventions Based on Propensity Scores, Target Policies and Treatment-Specific Costs
AAAI 2026
Positive-Unlabeled Regression: learning from partially labeled quantitative outcomes
UAI 2026
Unified Minimax Optimization Framework for Propensity Score Estimation in Debiased Recommendation
AAAI 2026
Adversarial Propensity Weighting for Debiasing in Collaborative Filtering
IJCAI 2025
Causal Effect of Functional Treatment
JMLR 2025
DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data
JMLR 2025
Efficient and Robust Semi-supervised Estimation of Average Treatment Effect with Partially Annotated Treatment and Response
JMLR 2025
Learning from biased positive-unlabeled data via threshold calibration
AISTATS 2025
Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
ICML 2025
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
ICLR 2025
Stabilized Inverse Probability Weighting via Isotonic Calibration
CLeaR 2025
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
ICML 2024
An effective framework for estimating individualized treatment rules
NeurIPS 2024
A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
ICLR 2024
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm
NeurIPS 2024
Calibrated and Conformal Propensity Scores for Causal Effect Estimation
UAI 2024
Defining Expertise: Applications to Treatment Effect Estimation
ICLR 2024
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random
NeurIPS 2024
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
AAAI 2024
Positivity-free Policy Learning with Observational Data
AISTATS 2024
Propensity Score Alignment of Unpaired Multimodal Data
NeurIPS 2024
Time-Varying Propensity Score to Bridge the Gap between the Past and Present
ICLR 2024
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators
NeurIPS 2024