Yonghan Jung

According to our database1, Yonghan Jung authored at least 9 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Estimating Joint Treatment Effects by Combining Multiple Experiments.
Proceedings of the International Conference on Machine Learning, 2023

2022
On Measuring Causal Contributions via do-interventions.
Proceedings of the International Conference on Machine Learning, 2022

2021
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Estimating Identifiable Causal Effects through Double Machine Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning Causal Effects via Weighted Empirical Risk Minimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Estimating Causal Effects Using Weighting-Based Estimators.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2017
Detection of PVC by using a wavelet-based statistical ECG monitoring procedure.
Biomed. Signal Process. Control., 2017


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