Evolution of Real-world Hypergraphs: Patterns and Models without Oracles. - Yunbum Kook; Jihoon Ko; Kijung Shin (ICDM, 2020)

Incremental Lossless Graph Summarization. - Jihoon Ko; Yunbum Kook; Kijung Shin (KDD, 2020)

Vertex Sparsification for Edge Connectivity. - Parinya Chalermsook; Syamantak Das; Yunbum Kook; Bundit Laekhanukit; Yang P. Liu; Richard Peng; Mark Sellke; Daniel Vaz 001 (SODA, 2021)

Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space. - Yunbum Kook; Yin Tat Lee; Ruoqi Shen; Santosh S. Vempala (NeurIPS, 2022)

Growth patterns and models of real-world hypergraphs. - Jihoon Ko; Yunbum Kook; Kijung Shin (Knowl. Inf. Syst., 2022)

Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators. - Yunbum Kook; Yin Tat Lee; Ruoqi Shen; Santosh S. Vempala (COLT, 2023)

Efficiently Sampling the PSD Cone with the Metric Dikin Walk. - Yunbum Kook; Santosh S. Vempala (CoRR, 2023)

Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling. - Yunbum Kook; Santosh S. Vempala (COLT, 2024)

Sampling from the Mean-Field Stationary Distribution. - Yunbum Kook; Matthew Shunshi Zhang; Sinho Chewi; Murat A. Erdogdu; Mufan (Bill) Li (COLT, 2024)

Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise. - Kwangjun Ahn; Zhiyu Zhang; Yunbum Kook; Yan Dai 002 (ICML, 2024)

In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies. - Yunbum Kook; Santosh S. Vempala; Matthew Shunshi Zhang (NeurIPS, 2024)

Sampling from the Mean-Field Stationary Distribution. - Yunbum Kook; Matthew Shunshi Zhang; Sinho Chewi; Murat A. Erdogdu; Mufan Bill Li (CoRR, 2024)

Rényi-infinity constrained sampling with d3 membership queries. - Yunbum Kook; Matthew S. Zhang (CoRR, 2024)

Covariance estimation using Markov chain Monte Carlo. - Yunbum Kook; Matthew S. Zhang (CoRR, 2024)

Rényi-infinity constrained sampling with d3 membership queries. - Yunbum Kook; Matthew S. Zhang (SODA, 2025)

Sampling and Integration of Logconcave Functions by Algorithmic Diffusion. - Yunbum Kook; Santosh S. Vempala (STOC, 2025)

Fast Tensor Completion via Approximate Richardson Iteration. - Mehrdad Ghadiri; Matthew Fahrbach; Yunbum Kook; Ali Jadbabaie (CoRR, 2025)

Faster logconcave sampling from a cold start in high dimension. - Yunbum Kook; Santosh S. Vempala (CoRR, 2025)

Zeroth-order log-concave sampling. - Yunbum Kook (CoRR, 2025)