Incremental lossless graph summarization J Ko, Y Kook, K Shin International Conference on Knowledge Discovery & Data Mining (KDD'20), 317-327, 2020 | 57 | 2020 |
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 | 41 | 2022 |
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 | 36 | 2020 |
Vertex sparsification for edge connectivity P Chalermsook, S Das, Y Kook, B Laekhanukit, YP Liu, R Peng, M Sellke, ... The ACM-SIAM Symposium on Discrete Algorithms (SODA'21), 1206-1225, 2021 | 30* | 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 | 18 | 2023 |
Growth patterns and models of real-world hypergraphs J Ko, Y Kook, K Shin Knowledge and Information Systems (KAIS) 64 (11), 2883-2920, 2022 | 15 | 2022 |
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 | 12 | 2024 |
Understanding Adam optimizer via online learning of updates: Adam is FTRL in disguise K Ahn, Z Zhang, Y Kook, Y Dai International Conference on Machine Learning (ICML'24) 235, 619-640, 2024 | 10 | 2024 |
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 | 8 | 2024 |
In-and-Out: Algorithmic diffusion for sampling convex bodies Y Kook, SS Vempala, MS Zhang arXiv preprint arXiv:2405.01425, 2024 | 6 | 2024 |
Rényi-infinity constrained sampling with membership queries Y Kook, MS Zhang The ACM-SIAM Symposium on Discrete Algorithms (SODA'25), 5278-5306, 2025 | 2 | 2025 |
Sampling and integration of logconcave functions by algorithmic diffusion Y Kook, SS Vempala arXiv preprint arXiv:2411.13462, 2024 | 1 | 2024 |
Covariance estimation using Markov chain Monte Carlo Y Kook, MS Zhang arXiv preprint arXiv:2410.17147, 2024 | 1 | 2024 |