conftrace_

propensity score

47 papers

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Co-occurring keywords

causal inference (1630) observational datum (109) treatment effect (134) doubly robust (32) treatment effect estimation (72) average treatment effect (38) covariate shift (157) neural network (6616) observational study (38) bayesian inference (1907)

Papers

Interpolated Stochastic Interventions Based on Propensity Scores, Target Policies and Treatment-Specific Costs AAAI 2026
Unified Minimax Optimization Framework for Propensity Score Estimation in Debiased Recommendation AAAI 2026
Causal Effect of Functional Treatment JMLR 2025
Adversarial Propensity Weighting for Debiasing in Collaborative Filtering IJCAI 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
Propensity Score Alignment of Unpaired Multimodal Data NIPS 2024
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators NIPS 2024
Benchmarking Estimators for Natural Experiments: A Novel Dataset and a Doubly Robust Algorithm NIPS 2024
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation AAAI 2024
Positivity-free Policy Learning with Observational Data AISTATS 2024
An effective framework for estimating individualized treatment rules NIPS 2024
Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random NIPS 2024
Evaluating Digital Agriculture Recommendations with Causal Inference AAAI 2023
Causal Isotonic Calibration for Heterogeneous Treatment Effects ICML 2023
Covariate balancing using the integral probability metric for causal inference ICML 2023
Propensity Matters: Measuring and Enhancing Balancing for Recommendation ICML 2023
Multiple Robust Learning for Recommendation AAAI 2023
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference NIPS 2023
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach NIPS 2023
Reliable Off-Policy Learning for Dosage Combinations NIPS 2023
Predictive State Propensity Subclassification (PSPS): A causal inference algorithm for data-driven propensity score stratification CLEAR 2022
Neural score matching for high-dimensional causal inference AISTATS 2022
Estimating Causal Effects under Network Interference with Bayesian Generalized Propensity Scores JMLR 2022
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality ICML 2022