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Yunbum Kook
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2020 – today
- 2024
- [c8]Yunbum Kook, Matthew Shunshi Zhang, Sinho Chewi, Murat A. Erdogdu, Mufan (Bill) Li:
Sampling from the Mean-Field Stationary Distribution. COLT 2024: 3099-3136 - [c7]Yunbum Kook, Santosh S. Vempala:
Gaussian Cooling and Dikin Walks: The Interior-Point Method for Logconcave Sampling. COLT 2024: 3137-3240 - [c6]Kwangjun Ahn, Zhiyu Zhang, Yunbum Kook, Yan Dai:
Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise. ICML 2024 - [i11]Kwangjun Ahn, Zhiyu Zhang, Yunbum Kook, Yan Dai:
Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise. CoRR abs/2402.01567 (2024) - [i10]Yunbum Kook, Matthew Shunshi Zhang, Sinho Chewi, Murat A. Erdogdu, Mufan Bill Li:
Sampling from the Mean-Field Stationary Distribution. CoRR abs/2402.07355 (2024) - [i9]Yunbum Kook, Santosh S. Vempala, Matthew Shunshi Zhang:
In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies. CoRR abs/2405.01425 (2024) - [i8]Yunbum Kook, Matthew S. Zhang:
Rényi-infinity constrained sampling with d3 membership queries. CoRR abs/2407.12967 (2024) - [i7]Yunbum Kook, Matthew S. Zhang:
Covariance estimation using Markov chain Monte Carlo. CoRR abs/2410.17147 (2024) - 2023
- [c5]Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala:
Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators. COLT 2023: 4504-4569 - [i6]Yunbum Kook, Santosh S. Vempala:
Efficiently Sampling the PSD Cone with the Metric Dikin Walk. CoRR abs/2307.12943 (2023) - 2022
- [j1]Jihoon Ko, Yunbum Kook, Kijung Shin:
Growth patterns and models of real-world hypergraphs. Knowl. Inf. Syst. 64(11): 2883-2920 (2022) - [c4]Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala:
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space. NeurIPS 2022 - [i5]Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala:
Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space. CoRR abs/2202.01908 (2022) - [i4]Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala:
Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators. CoRR abs/2210.07219 (2022) - 2021
- [c3]Parinya Chalermsook, Syamantak Das, Yunbum Kook, Bundit Laekhanukit, Yang P. Liu, Richard Peng, Mark Sellke, Daniel Vaz:
Vertex Sparsification for Edge Connectivity. SODA 2021: 1206-1225 - 2020
- [c2]Yunbum Kook, Jihoon Ko, Kijung Shin:
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles. ICDM 2020: 272-281 - [c1]Jihoon Ko, Yunbum Kook, Kijung Shin:
Incremental Lossless Graph Summarization. KDD 2020: 317-327 - [i3]Jihoon Ko, Yunbum Kook, Kijung Shin:
Incremental Lossless Graph Summarization. CoRR abs/2006.09935 (2020) - [i2]Parinya Chalermsook, Syamantak Das, Bundit Laekhanukit, Yunbum Kook, Yang P. Liu, Richard Peng, Mark Sellke, Daniel Vaz:
Vertex Sparsification for Edge Connectivity. CoRR abs/2007.07862 (2020) - [i1]Yunbum Kook, Jihoon Ko, Kijung Shin:
Evolution of Real-world Hypergraphs: Patterns and Models without Oracles. CoRR abs/2008.12729 (2020)
Coauthor Index
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