Generalized Priority-Aware Shapley Value
Lee, K., Liu, Z., Tang, W., and Zhang, Y. (2026). "Generalized Priority-Aware Shapley Value." ICML 2026 CTB Workshop.
CV
Summary
Ph.D. candidate in Statistics at The Ohio State University working on data-centric AI, explainable AI, Shapley-based data valuation, and uncertainty quantification for modern AI systems.
Education
- The Ohio State University, Columbus, OH Ph.D. in Statistics; Minor in Computer Science, Aug 2022 - expected Jun 2027 Advisor: Dr. Yuan Zhang
- Korea University, Seoul, South Korea Master in Statistics, Mar 2020 - Aug 2021 Advisor: Dr. Taeryon Choi Thesis: Fully Bayesian Semiparametric Two-stage Meta-analysis
- Korea University, Seoul, South Korea Bachelor of Statistics, Mar 2014 - Feb 2020
Experience
- Statistics Researcher Intern, United Airlines, May 2026 - Present
- Graduate Research Assistant, The Ohio State University, Aug 2025 - Present
- Graduate Teaching Assistant, The Ohio State University, Aug 2023 - Present TA for 11 courses including Advanced Theory of Statistics, Statistical Computation, and Statistical Machine Learning.
- Statistical Consultant, The Ohio State University, May 2025 - Jul 2025 Advised 6 clients across psychology, agricultural science, civil engineering, and related fields on statistical modeling and analysis.
- Graduate Research Assistant, Korea University, Mar 2020 - Aug 2021 Developed a Bayesian semiparametric two-stage meta-analysis model and applied it to U.S. COVID-19 data.
Publications
First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint
Liu, Z., Lee, K., Zhang, Y., and Tang, W. (2026). "First-Order Efficiency for Probabilistic Value Estimation via A Statistical Viewpoint." ICML 2026 NExT-Game Workshop.
Priority-Aware Shapley Value
Lee, K., Liu, Z., Tang, W., and Zhang, Y. (2026). "Priority-Aware Shapley Value." International Conference on Machine Learning (ICML).
Faithful Group Shapley Value
Lee, K., Liu, Z., Tang, W., and Zhang, Y. (2025). "Faithful Group Shapley Value." Advances in Neural Information Processing Systems (NeurIPS). ICML 2025 DataWorld Workshop Best Paper Award Honorable Mention.
Leave-One-Out Stable Conformal Prediction
Lee, K. and Zhang, Y. (2025). "Leave-One-Out Stable Conformal Prediction." The Thirteenth International Conference on Learning Representations (ICLR).
Bayesian Hierarchical Time-Varying Distributed Lag Nonlinear Model: Applications in the Short-Term Association between Ambient Temperature and Daily Confirmed Cases of COVID-19
Han, D., Lee, K., Chung, Y., Kobayashi, G., and Choi, T. (2025). "Bayesian Hierarchical Time-Varying Distributed Lag Nonlinear Model: Applications in the Short-Term Association between Ambient Temperature and Daily Confirmed Cases of COVID-19." Journal of Applied Statistics.
Honors and Awards
- Gold Reviewer Award, ICML 2026, Jun 2026 Awarded to the top 25% of reviewers based on area-chair ratings of submitted reviews.
- Best Paper Award Honorable Mention, ICML 2025 DataWorld Workshop, Jul 2025 Awarded to Faithful Group Shapley Value as one of two honorable mentions in the workshop’s Best Paper Awards.
- Ransom & Marian Whitney Award for Research, Department of Statistics, The Ohio State University, 2026
- University Fellowship, The Ohio State University, 2022-2023
- Academic Excellence Scholarships, Korea University, 2015-2019
Teaching
- The Ohio State University, Aug 2023 - Present Teaching assistant for 11 courses including Statistical Theory I, Computational Statistics, Introduction to R, Statistical Inference for Data Analytics, Statistical Modeling for Discovery II, Applied Multivariate Analysis, and Elementary Statistics.
- Korea University, Mar 2020 - Aug 2021 Teaching assistant for Statistical Computing, Introduction to Bayesian Statistics, and Statistical Research Method.
Skills
- Languages/Tools: Python, R, LaTeX, SQL, C++, MATLAB, SAS, Julia
- ML/AI: Scikit-learn, PyTorch, TensorFlow, Keras
- Research Areas: Data-centric AI, explainable AI, Shapley value, data valuation, conformal prediction, uncertainty quantification