Yunbum Kook

According to our database, Yunbum Kook authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

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

CoRR, 2024

In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies.

Yunbum Kook, Santosh S. Vempala, Matthew Shunshi Zhang

CoRR, 2024

Sampling from the Mean-Field Stationary Distribution.

Yunbum Kook, Matthew Shunshi Zhang, Sinho Chewi, Murat A. Erdogdu, Mufan Bill Li

CoRR, 2024

Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise.

Kwangjun Ahn, Zhiyu Zhang, Yunbum Kook, Yan Dai

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sampling from the Mean-Field Stationary Distribution.

Yunbum Kook, Matthew Shunshi Zhang, Sinho Chewi, Murat A. Erdogdu, Mufan (Bill) Li

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling.

Yunbum Kook, Santosh S. Vempala

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Efficiently Sampling the PSD Cone with the Metric Dikin Walk.

Yunbum Kook, Santosh S. Vempala

CoRR, 2023

Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators.

Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Growth patterns and models of real-world hypergraphs.

Jihoon Ko, Yunbum Kook, Kijung Shin

Knowl. Inf. Syst., 2022

Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space.

Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Vertex Sparsification for Edge Connectivity.

Parinya Chalermsook, Syamantak Das, Yunbum Kook, Bundit Laekhanukit, Yang P. Liu, Richard Peng, Mark Sellke, Daniel Vaz

Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

2020

Incremental Lossless Graph Summarization.

Jihoon Ko, Yunbum Kook, Kijung Shin

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Evolution of Real-world Hypergraphs: Patterns and Models without Oracles.

Yunbum Kook, Jihoon Ko, Kijung Shin

Proceedings of the 20th IEEE International Conference on Data Mining, 2020