proxy variable

Proxy-Guided Measurement Calibration CLeaR 2026 Bivariate Causal Discovery with Proxy Variables: Integral Solving and Beyond ICML 2025 Density Ratio-based Proxy Causal Learning Without Density Ratios AISTATS 2025 Kernel Single Proxy Control for Deterministic Confounding AISTATS 2025 Automating the Selection of Proxy Variables of Unmeasured Confounders ICML 2024 Causal Discovery via Conditional Independence Testing with Proxy Variables ICML 2024 Partial Identification with Proxy of Latent Confoundings via Sum-of-ratios Fractional Programming UAI 2024 Proxy Methods for Domain Adaptation AISTATS 2024 Zero Inflation as a Missing Data Problem: a Proxy-based Approach UAI 2024 A Cross-Moment Approach for Causal Effect Estimation NeurIPS 2023 Adapting to Latent Subgroup Shifts via Concepts and Proxies AISTATS 2023 Causal Discovery from Subsampled Time Series with Proxy Variables NeurIPS 2023 Optimal Treatment Regimes for Proximal Causal Learning NeurIPS 2023 Proximal Causal Learning of Conditional Average Treatment Effects ICML 2023 The Proximal ID Algorithm JMLR 2023 Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies NeurIPS 2022 On Testing for Discrimination Using Causal Models AAAI 2022 A Proxy Variable View of Shared Confounding ICML 2021 Causal Identification with Matrix Equations NeurIPS 2021 Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation NeurIPS 2021 Regularizing towards Causal Invariance: Linear Models with Proxies ICML 2021 On Multi-Cause Approaches to Causal Inference with Unobserved Counfounding: Two Cautionary Failure Cases and A Promising Alternative AISTATS 2019