Preprints Preprint Derivative Gaussian Processes on a Two-Direction Budget Hyunseok Seung and Matthias Katzfuss 2026 arXiv Code Conference Proceedings NeurIPS Scalable Derivative Gaussian Processes via Exact Gradient Reduction Hyunseok Seung and Matthias Katzfuss In Advances in Neural Information Processing Systems , 2026 arXiv Code AAAI Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-Tuning Hyunseok Seung , Jaewoo Lee , and Hyunsuk Ko In AAAI Conference on Artificial Intelligence , 2026 DOI Code ICDM MAC: An Efficient Gradient Preconditioning Using Mean Activation Approximated Curvature Hyunseok Seung , Jaewoo Lee , and Hyunsuk Ko In IEEE International Conference on Data Mining , 2025 DOI Code BigData NysAct: A Scalable Preconditioned Gradient Descent Using Nyström Approximation Hyunseok Seung , Jaewoo Lee , and Hyunsuk Ko In IEEE International Conference on Big Data , 2024 DOI Code ICDMW An Adaptive Method Stabilizing Activations for Enhanced Generalization Hyunseok Seung , Jaewoo Lee , and Hyunsuk Ko In IEEE International Conference on Data Mining Workshop , 2024 DOI Code Journal Articles KAIS Mean Activation Curvature for Scalable Second-Order Optimization in Deep Networks Hyunseok Seung , Jaewoo Lee , and Hyunsuk Ko Knowledge and Information Systems , 2026 Invited journal extension from the IEEE ICDM 2025 best-ranked paper selection DOI Code Stat Enhancing COVID-19 Mortality Prediction with Online Autocovariance Change Points Detection Hyunseok Seung , Kaiwen Han , Ye Shen , and Yuan Ke Stat , 2026 DOI Code CSTM Modified Likelihood Ratio Tests for Extreme Value Distributions Hyunseok Seung and Sangun Park Communications in Statistics–Theory and Methods , 2021 DOI