measurement error

Proxy-Guided Measurement Calibration CLeaR 2026 Robust estimation of graphical models with measurement error: False discovery control and sensitivity analysis UAI 2026 Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning IJCAI 2025 Analysis of Differentially Private Synthetic Data: A Measurement Error Approach AAAI 2024 A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error ICLR 2024 Errors-in-variables Fr\'echet Regression with Low-rank Covariate Approximation NeurIPS 2023 Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023 Social Bias Meets Data Bias: The Impacts of Labeling and Measurement Errors on Fairness Criteria AAAI 2023 Causal Discovery in Linear Latent Variable Models Subject to Measurement Error NeurIPS 2022 Improving Bayesian Network Structure Learning in the Presence of Measurement Error JMLR 2022 Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models NeurIPS 2022 Partial Identifiability in Discrete Data with Measurement Error UAI 2021 Anchored Causal Inference in the Presence of Measurement Error UAI 2020 Effect of Microphone Position Measurement Error on RIR and its Impact on Speech Intelligibility and Quality Interspeech 2020 Learning Models from Data with Measurement Error: Tackling Underreporting ICML 2019 Challenges of Using Text Classifiers for Causal Inference EMNLP 2018 Delayed Impact of Fair Machine Learning ICML 2018 On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks JMLR 2017 A Minimum Error Vanishing Point Detection Approach for Uncalibrated Monocular Images of Man-Made Environments CVPR 2013