Yunbum Kook
Office: 2210 KACB
Email: yb.{last name} at gatech dot edu
I am a fourth-year PhD student in the School of Computer Science at Georgia Institute of Technology, advised by Prof. Santosh Vempala.
I received my B.S. in Mathematical Sciences from KAIST.
I am interested in sampling, diffusion models, and theoretical aspects of machine learning.
Scholar
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Publications
Sampling and integration of logconcave functions by algorithmic diffusion
with Santosh S. Vempala
arXiv
Covariance estimation using Markov chain Monte Carlo
with Matthew S. Zhang
arXiv
Rényi-infinity constrained sampling with d^3 membership queries
with Matthew S. Zhang
arXiv
SODA 2025
Slide
In-and-Out: Algorithmic diffusion for sampling convex bodies
with Santosh S. Vempala, Matthew S. Zhang
arXiv
[NeurIPS 2024 (Spotlight)]
Poster
Slide
Sampling from the mean-field stationary distribution
with Sinho Chewi, Murat A. Erdogdu, Mufan Bill Li, Matthew S. Zhang
arXiv
COLT 2024
Poster
Slide
Gaussian cooling and Dikin walks: The interior-point method for logconcave sampling
with Santosh S. Vempala
arXiv
COLT 2024
Poster
Slide
Understanding Adam optimizer via online learning of updates: Adam is FTRL in disguise
Kwangjun Ahn, Zhiyu Zhang, Yunbum Kook, Yan Dai
arXiv
ICML 2024
Video (15)
Condition-number-independent convergence rate of Riemannian Hamiltonian Monte Carlo with numerical integrators
with Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala
arXiv
COLT 2023
Poster
Slide
Sampling with Riemannian Hamiltonian Monte Carlo in a constrained space
with Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala
arXiv
NeurIPS 2022
Poster
Slide
Code
Vertex sparsification for edge connectivity
with Parinya Chalermsook, Syamantak Das, Bundit Laekhanukit, Yang P. Liu, Richard Peng, Mark Sellke, Daniel Vaz
arXiv
SODA 2021
Slide
Video(11)
Video(25)
Video(60)
Evolution of real-world hypergraphs: Patterns and models without oracles (long)
Yunbum Kook, Jihoon Ko, Kijung Shin
arXiv
ICDM 2020
[Knowledge and Information Systems]
Slide
Video(20)
Code
Incremental lossless graph summarization
Jihoon Ko*, Yunbum Kook*, Kijung Shin
arXiv
KDD 2020
Slide
Video(20)
Code
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