instrumental variable

A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding NeurIPS 2024 A Semi-parametric Estimation of Personalized Dose-response Function Using Instrumental Variables JMLR 2024 Bounding causal effects with leaky instruments UAI 2024 Causal Discovery with Generalized Linear Models through Peeling Algorithms JMLR 2024 Causal Imputation for Counterfactual SCMs: Bridging Graphs and Latent Factor Models CLeaR 2024 Conditional Common Entropy for Instrumental Variable Testing and Partial Identification ICML 2024 Conditional Instrumental Variable Regression with Representation Learning for Causal Inference ICLR 2024 Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables NeurIPS 2024 Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation AAAI 2024 Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition NeurIPS 2024 Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data NeurIPS 2024 Geometry-Aware Instrumental Variable Regression ICML 2024 Identification and Estimation of Conditional Average Partial Causal Effects via Instrumental Variable UAI 2024 Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments NeurIPS 2024 Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past JMLR 2024 Inference of nonlinear causal effects with application to TWAS with GWAS summary data CLeaR 2024 Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders AAAI 2024 Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning JMLR 2024 Learning Decision Policies with Instrumental Variables through Double Machine Learning ICML 2024 Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments ICML 2024 Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias ICML 2024 An Instrumental Variable Approach to Confounded Off-Policy Evaluation ICML 2023 Causal Inference with Conditional Instruments Using Deep Generative Models AAAI 2023 Combining Graphical and Algebraic Approaches for Parameter Identification in Latent Variable Structural Equation Models AISTATS 2023 Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression CVPR 2023