Kook, Yunbum

7 publications

ICML 2025 Fast Tensor Completion via Approximate Richardson Iteration Mehrdad Ghadiri, Matthew Fahrbach, Yunbum Kook, Ali Jadbabaie

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

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

COLT 2024 Sampling from the Mean-Field Stationary Distribution Yunbum Kook, Matthew S. Zhang, Sinho Chewi, Murat A. Erdogdu, Mufan Li

ICML 2024 Understanding Adam Optimizer via Online Learning of Updates: Adam Is FTRL in Disguise Kwangjun Ahn, Zhiyu Zhang, Yunbum Kook, Yan Dai

COLT 2023 Condition-Number-Independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh Vempala

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