Prediction-Powered Data Fusion for Treatment Effect Estimation
Preprint, 2026
Publications
First-authored papers by Yonghan Jung.
17 papers
2026
Proximal Balancing for Causal Effect Estimation under Unmeasured Confounding
Technical paper, Causal Data Science Lab, University of Illinois Urbana-Champaign, 2026
Information-Theoretic Causal Bounds under Unmeasured Confounding
In Conference on Causal Learning and Reasoning (CLeaR), 2026
Debiased Front-Door Learners for Heterogeneous Effects
In International Conference on Learning Representations (ICLR), 2026
2024
Efficient policy evaluation across multiple different experimental datasets
In Advances in Neural Information Processing Systems (NeurIPS), 2024
Complete graphical criterion for sequential covariate adjustment in causal inference
In Advances in Neural Information Processing Systems (NeurIPS), 2024
Unified covariate adjustment for causal inference
In Advances in Neural Information Processing Systems (NeurIPS), 2024
2023
A Short Note on Finite Sample Analysis on Double/Debiased Machine Learning
tech-report, 2023
Estimating causal effects identifiable from a combination of observations and experiments
In Advances in Neural Information Processing Systems (NeurIPS), 2023
Estimating joint treatment effects by combining multiple experiments
In International Conference on Machine Learning (ICML), 2023
2022
On measuring causal contributions via do-interventions
In International Conference on Machine Learning (ICML), 2022
2021
Double machine learning density estimation for local treatment effects with instruments
In Advances in Neural Information Processing Systems, 2021
Estimating identifiable causal effects on markov equivalence class through double machine learning
In International Conference on Machine Learning, 2021
Estimating identifiable causal effects through double machine learning
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021
2020
Learning causal effects via weighted empirical risk minimization
In Advances in neural information processing systems (NeurIPS), 2020
Estimating causal effects using weighting-based estimators
In Proceedings of the AAAI Conference on Artificial Intelligence, 2020
2017
Detection of PVC by using a wavelet-based statistical ECG monitoring procedure
Biomedical Signal Processing and Control, 2017