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Yonghan Jung
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 9
Top Topics
Machine Learning
Equivalence Class
Causal Relationships
Causal Effects
Top Venues
ICML
NeurIPS
AAAI
Biomed. Signal Process. Control.
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Publications
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Yonghan Jung
,
Jin Tian
,
Elias Bareinboim
Estimating Joint Treatment Effects by Combining Multiple Experiments.
ICML
(2023)
Yonghan Jung
,
Ivan Diaz
,
Jin Tian
,
Elias Bareinboim
Estimating Causal Effects Identifiable from a Combination of Observations and Experiments.
NeurIPS
(2023)
Yonghan Jung
,
Shiva Kasiviswanathan
,
Jin Tian
,
Dominik Janzing
,
Patrick Blöbaum
,
Elias Bareinboim
On Measuring Causal Contributions via do-interventions.
ICML
(2022)
Yonghan Jung
,
Jin Tian
,
Elias Bareinboim
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments.
NeurIPS
(2021)
Yonghan Jung
,
Jin Tian
,
Elias Bareinboim
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning.
ICML
(2021)
Yonghan Jung
,
Jin Tian
,
Elias Bareinboim
Estimating Identifiable Causal Effects through Double Machine Learning.
AAAI
(2021)
Yonghan Jung
,
Jin Tian
,
Elias Bareinboim
Learning Causal Effects via Weighted Empirical Risk Minimization.
NeurIPS
(2020)
Yonghan Jung
,
Jin Tian
,
Elias Bareinboim
Estimating Causal Effects Using Weighting-Based Estimators.
AAAI
(2020)
Yonghan Jung
,
Heeyoung Kim
Detection of PVC by using a wavelet-based statistical ECG monitoring procedure.
Biomed. Signal Process. Control.
36 (2017)