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Yongchan Kwon

Columbia University (from arXiv:2410.06875, 2024) · ORCID · OpenAlex

9 papers in scope · 7 published · 2 on the econ.EM arXiv · 473 citations · h-index 5 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Jonas Peters
  2. Cristian Pop-Eleches
  3. Rajeev Dehejia
  4. Hyeonseok Park
  5. Gaoqian Xu
  6. Xiye Yang
  7. Cyrus Samii
  8. David Van Dijcke
  9. Ruonan Xu
  10. Konrad Menzel
  11. Yanqin Fan
  12. Malte Londschien
  13. Marc Henry
  14. Zhaonan Qu
  15. Alfred Galichon
  16. Stéphane Bonhomme
  17. Timothy B. Armstrong
  18. Martin Weidner
  19. Michal Kolesár
  20. Elias Bareinboim

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(2 of 9)

Distributionally Robust Instrumental Variables Estimation
working paper2024 · arXiv
with Zhaonan Qu
Paper profile arXiv arXiv:2410.15634
Group Shapley Value and Counterfactual Simulations in a Structural Model
working paper2024 · arXiv
with Sokbae Lee, Guillaume Pouliot
Paper profile arXiv arXiv:2410.06875
Efficient Computation and Analysis of Distributional Shapley Values
published2021 · International Conference on Artificial Intelligence and Statistics · 15 citations · first circulated 2020
with Manuel A. Rivas, James Zou
International Conference on Artificial Intelligence and Statistics
Lipschitz Continuous Autoencoders in Application to Anomaly Detection.
published2020 · International Conference on Artificial Intelligence and Statistics · 3 citations
with Young-Geun Kim, Hyunwoong Chang, Myunghee Cho Paik
no link
Principled analytic classifier for positive-unlabeled learning via weighted integral probability metric
published2019 · Machine Learning · 8 citations
with Wonyoung Kim, Masashi Sugiyama, Myunghee Cho Paik
Machine Learning
Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation
published2019 · Computational Statistics & Data Analysis · 427 citations
with Joong-Ho Won, Beom Joon Kim, Myunghee Cho Paik
Computational Statistics & Data Analysis
A ROBUST CALIBRATION-ASSISTED METHOD FOR LINEAR MIXED EFFECTS MODEL UNDER CLUSTER-SPECIFIC NONIGNORABLE MISSINGNESS
published2017 · Statistica Sinica
with Myunghee Cho Paik, Jae Kwang Kim, Hongsoo Kim
Statistica Sinica
Generalized estimating equations with stabilized working correlation structure
published2016 · Computational Statistics & Data Analysis · 6 citations
with Young-Geun Choi, Taesung Park, Andreas Ziegler, Myunghee Cho Paik
Computational Statistics & Data Analysis
Calibrated propensity score method for survey nonresponse in cluster sampling
published2016 · Biometrika · 14 citations
with Jae Kwang Kim, Myunghee Cho Paik
Biometrika

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.