Yunbum Kook
Office: 2124 KACB
Email: yb.{last name} at gatech dot edu

I am a third-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 and theoretical aspects of machine learning.

Scholar

Publications

In-and-Out: Algorithmic Diffusions for Sampling Convex Bodies
with Santosh S. Vempala, Matthew S. Zhang
preprint
arXiv

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

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

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

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

Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space
with Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala
NeurIPS 2022
ProceedingsarXivPosterSlideCode

Growth Patterns and Models of Real-world Hypergraphs
Jihoon Ko*, Yunbum Kook*, Kijung Shin
Knowledge and Information Systems, 2022
JournalConf

Vertex Sparsification for Edge Connectivity
with Parinya Chalermsook, Syamantak Das, Bundit Laekhanukit, Yang P. Liu, Richard Peng, Mark Sellke, Daniel Vaz
SODA 2021
ProceedingsarXivSlideVideo(11)Video(25)Video(60)

Evolution of Real-world Hypergraphs: Patterns and Models without Oracles (long)
Yunbum Kook, Jihoon Ko, Kijung Shin
IEEE ICDM 2020 (Best paper candidate for KAIS publication)
ProceedingsarXivSlideVideo(20)Code

Incremental Lossless Graph Summarization
Jihoon Ko*, Yunbum Kook*, Kijung Shin
KDD 2020
ProceedingsarXivSlideVideo(20)Code

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