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Yunbum Kook
Yunbum Kook
在 gatech.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Incremental lossless graph summarization
J Ko, Y Kook, K Shin
International Conference on Knowledge Discovery & Data Mining (KDD'20), 317-327, 2020
482020
Sampling with Riemannian Hamiltonian Monte Carlo in a constrained space
Y Kook, YT Lee, R Shen, S Vempala
Advances in Neural Information Processing Systems (NeurIPS'22) 35, 31684-31696, 2022
302022
Evolution of real-world hypergraphs: Patterns and models without oracles
Y Kook, J Ko, K Shin
International Conference on Data Mining (ICDM'20), 272-281, 2020
292020
Vertex sparsification for edge connectivity
P Chalermsook, S Das, Y Kook, B Laekhanukit, YP Liu, R Peng, M Sellke, ...
Proceedings of the ACM-SIAM Symposium on Discrete Algorithms (SODA'21), 1206 …, 2021
26*2021
Condition-number-independent convergence rate of Riemannian Hamiltonian Monte Carlo with numerical integrators
Y Kook, YT Lee, R Shen, S Vempala
Conference on Learning Theory (COLT'23), 4504-4569, 2023
122023
Growth patterns and models of real-world hypergraphs
J Ko, Y Kook, K Shin
Knowledge and Information Systems (KAIS) 64 (11), 2883-2920, 2022
102022
Sampling from the mean-field stationary distribution
Y Kook, MS Zhang, S Chewi, MA Erdogdu, MB Li
Conference on Learning Theory (COLT'24), 3099-3136, 2024
42024
Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling
Y Kook, SS Vempala
Conference on Learning Theory (COLT'24), 3137-3240, 2024
32024
Understanding Adam optimizer via online learning of updates: Adam is FTRL in disguise
K Ahn, Z Zhang, Y Kook, Y Dai
arXiv preprint arXiv:2402.01567, 2024
32024
R\'enyi-infinity constrained sampling with membership queries
Y Kook, MS Zhang
arXiv preprint arXiv:2407.12967, 2024
2024
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies
Y Kook, SS Vempala, MS Zhang
arXiv preprint arXiv:2405.01425, 2024
2024
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