| 2025 | FOCS | Faster Logconcave Sampling from a Cold Start in High Dimension. | Yunbum Kook, Santosh S. Vempala |
| 2025 | ICML | Fast Tensor Completion via Approximate Richardson Iteration. | Mehrdad Ghadiri, Matthew Fahrbach, Yunbum Kook, Ali Jadbabaie |
| 2025 | SODA | Rnyi-infinity constrained sampling with | Yunbum Kook, Matthew S. Zhang |
| 2025 | STOC | Sampling and Integration of Logconcave Functions by Algorithmic Diffusion. | Yunbum Kook, Santosh S. Vempala |
| 2024 | COLT | Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling. | Yunbum Kook, Santosh S. Vempala |
| 2024 | COLT | Sampling from the Mean-Field Stationary Distribution. | Yunbum Kook, Matthew Shunshi Zhang, Sinho Chewi, Murat A. Erdogdu, Mufan (Bill) Li |
| 2024 | ICML | Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise. | Kwangjun Ahn, Zhiyu Zhang, Yunbum Kook, Yan Dai |
| 2023 | COLT | Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators. | Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala |
| 2021 | SODA | Vertex Sparsification for Edge Connectivity. | Parinya Chalermsook, Syamantak Das, Yunbum Kook, Bundit Laekhanukit, Yang P. Liu, Richard Peng, Mark Sellke, Daniel Vaz |
| 2020 | ICDM | Evolution of Real-world Hypergraphs: Patterns and Models without Oracles. | Yunbum Kook, Jihoon Ko, Kijung Shin |
| 2020 | KDD | Incremental Lossless Graph Summarization. | Jihoon Ko, Yunbum Kook, Kijung Shin |