Kwangho Kim

Research Themes

Selected Publications

  1. Causal k-means clustering

    Kwangho Kim, Jisu Kim, Edward H. Kennedy

    Journal of the Royal Statistical Society, Series B • 2026 • WNAR Student Paper Award

    Paper

  2. Semi-supervised learning with noisy proxy covariates: Generalization bounds and distribution regression

    Kwangho Kim, Jisu Kim

    International Conference on Machine Learning (ICML) • 2026

    Paper

  3. Topological causal effects

    Kwangho Kim, Hajin Lee

    International Conference on Learning Representations (ICLR) • 2026

    Paper

  4. Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes

    Kwangho Kim, Bijan A. Niknam, José R. Zubizarreta

    Biostatistics, vol. 25, pp. 736–753 • 2024

    Paper

  5. Hierarchical and density-based causal clustering

    Kwangho Kim, Jisu Kim, Larry A. Wasserman, Edward H. Kennedy

    Advances in Neural Information Processing Systems (NeurIPS), vol. 37, pp. 30363–30393 • 2024

    Paper

  6. Fair and robust estimation of heterogeneous treatment effects for policy learning

    Kwangho Kim, José R. Zubizarreta

    International Conference on Machine Learning (ICML), vol. 202, pp. 16997–17014 • 2023

    Paper

  7. Doubly robust counterfactual classification

    Kwangho Kim, Edward H. Kennedy, José R. Zubizarreta

    Advances in Neural Information Processing Systems (NeurIPS), vol. 35, pp. 34831–34845 • 2022

    Paper

  8. Incremental intervention effects in studies with many timepoints and dropout

    Kwangho Kim, Edward H. Kennedy, Ashley I. Naimi

    Journal of Causal Inference, vol. 9, pp. 302–344 • 2021 • ASA Student Paper Award, Nonparametric Statistics Section

    Paper

  9. PLLay: Efficient topological layer based on persistent landscapes

    Kwangho Kim, Jisu Kim, Manzil Zaheer, Joon-sik Kim, Larry A. Wasserman, Frédéric Chazal

    Advances in Neural Information Processing Systems (NeurIPS), vol. 33, pp. 15965–15977 • 2020

    Paper

All Papers

* Corresponding author · † Student advisee

32 entries

  1. Causal evaluation of early-stage fast-charging protocols under cell-to-cell variability

    JungHyun Kim†, Dongwook Lee, Kwangho Kim*

    IEEE Transactions on Industrial Informatics • 2026

  2. Causal k-means clustering

    Kwangho Kim*, Jisu Kim, Edward H. Kennedy

    Journal of the Royal Statistical Society, Series B • 2026 • WNAR Student Paper Award

    Paper

  3. Fair and robust estimation of heterogeneous treatment effects for optimal policies in multilevel studies

    Youmi Suk, Chan Park, Chenguang Pan, Kwangho Kim*

    Multivariate Behavioral Research, pp. 1–20 • 2026

    Paper

  4. Provably correct k-means clustering of persistence diagrams

    Hajin Lee†, Kwangho Kim*

    Conference on Uncertainty in Artificial Intelligence (UAI) • 2026

    Paper

  5. Semi-supervised learning with noisy proxy covariates: Generalization bounds and distribution regression

    Kwangho Kim, Jisu Kim

    International Conference on Machine Learning (ICML) • 2026

    Paper

  6. Topological causal effects

    Kwangho Kim*, Hajin Lee†

    International Conference on Learning Representations (ICLR) • 2026

    Paper

  7. Counterfactual mean-variance optimization

    Kwangho Kim, Alan Mishler, José R. Zubizarreta

    In revision, Journal of Business & Economic Statistics • 2026

    arXiv

  8. Data-poisoning audits for causal effect estimation

    Kwangho Kim

    Preprint • 2026

    arXiv

  9. Geometry-adaptive counterfactual distribution learning with diffusion-guided smoothing

    Kwangho Kim

    Preprint • 2026

    arXiv

  10. From prediction to action: A framework for business closure analysis and LLM-based consulting strategy generation

    Munil Yang, Kwangho Kim, Dongha Kim

    Journal of the Korean Statistical Society, pp. 1–19 • 2025

    Paper

  11. Ultralong cycle lifespan in lithium metal batteries unlocked by a lithiophilic montmorillonite separator

    Alloyssius E. G. Gorospe, Dongwoo Kang, Kyunghyun Kim, Kwangho Kim, Dongwook Lee

    Materials Letters, Article 139240 • 2025

    Paper

  12. Counterfactual regression under intervention-driven shift

    Kwangho Kim

    Preprint • 2025

    arXiv

  13. Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes

    Kwangho Kim, Bijan A. Niknam, José R. Zubizarreta

    Biostatistics, vol. 25, pp. 736–753 • 2024

    Paper

  14. Hierarchical and density-based causal clustering

    Kwangho Kim*, Jisu Kim, Larry A. Wasserman, Edward H. Kennedy

    Advances in Neural Information Processing Systems (NeurIPS), vol. 37, pp. 30363–30393 • 2024

    Paper

  15. Estimation of the time-varying incremental effect of low-dose aspirin on incidence of pregnancy

    Jacqueline E. Rudolph, Kwangho Kim, Edward H. Kennedy, Ashley I. Naimi

    Epidemiology, vol. 34, pp. 38–44 • 2023

    Paper

  16. Fair and robust estimation of heterogeneous treatment effects for policy learning

    Kwangho Kim, José R. Zubizarreta

    International Conference on Machine Learning (ICML), vol. 202, pp. 16997–17014 • 2023

    Paper

  17. Doubly robust counterfactual classification

    Kwangho Kim, Edward H. Kennedy, José R. Zubizarreta

    Advances in Neural Information Processing Systems (NeurIPS), vol. 35, pp. 34831–34845 • 2022

    Paper

  18. Incremental intervention effects in studies with many timepoints and dropout

    Kwangho Kim*, Edward H. Kennedy, Ashley I. Naimi

    Journal of Causal Inference, vol. 9, pp. 302–344 • 2021 • ASA Student Paper Award, Nonparametric Statistics Section

    Paper

  19. PLLay: Efficient topological layer based on persistent landscapes

    Kwangho Kim*, Jisu Kim, Manzil Zaheer, Joon-sik Kim, Larry A. Wasserman, Frédéric Chazal

    Advances in Neural Information Processing Systems (NeurIPS), vol. 33, pp. 15965–15977 • 2020

    Paper

  20. Causal effects based on distributional distances

    Kwangho Kim, Jisu Kim, Edward H. Kennedy

    Preprint • 2018

    arXiv

  21. Bias-controlled learning of treatment-responsive subgroups

    Kwangho Kim, José R. Zubizarreta

    Under review

  22. Causal Clustering for Subgroup Discovery under Longitudinal Treatment Regimes

    JungHyun Kim†, Kwangho Kim

    Under review

  23. Counterfactual risk minimization: Learning and optimization under interventions

    Kwangho Kim

    Under review

  24. Doubly robust Q-learning for right-censored survival outcomes via AIPCW temporal-difference targets

    Woohyeok Yoo†, Hajin Lee†, Kwangho Kim

    Under review

  25. ECLayr: A Fast and Robust Topological Layer via Euler Characteristic Curves

    Hajin Lee†, Jisu Kim, Kwangho Kim

    Under review

  26. Learning under counterfactual shifts in image acquisition

    Uhjin Shin†, Kwangho Kim

    Under review

  27. Orthogonal masked counterfactual learning from incomplete data

    Kwangho Kim

    Under review

  28. Profile-based kernel balancing for generalization and transportability

    Woohyeok Yoo†, Uhjin Shin†, Kwangho Kim

    Under review

  29. Q-learning with Buckley–James imputation under right censoring

    Hajin Lee†, Woohyeok Yoo†, Kwangho Kim

    Under review

  30. Sustained Engagement Strategies for Chronic Low Back Pain Using PROPEL Trial Data

    Uhjin Shin†, Eun Kang, Kyounghae Kim, Kwangho Kim

    Under review

  31. Topology-regularized signal synthesis under distribution shift

    Kwangho Kim, Hajin Lee†, Haegang Lee, Heebum Lee, Jisu Kim, Alessandro Rinaldo

    Under review

  32. Will our treatment policy really work? Multiscale segmentation of treatment benefit regions

    Hajin Lee†, Kwangho Kim

    Under review

BibTeX