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Minwoo Chae

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2020 – today

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2024
[c2]
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  dblp key:
  - conf/aistats/KwonC24
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Hyeok Kyu Kwon, Minwoo Chae:
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variable. AISTATS 2024: 469-477
2023
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  - journals/csda/JeongCK23
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Kuhwan Jeong, Minwoo Chae, Yongdai Kim:
Online learning for the Dirichlet process mixture model via weakly conjugate approximation. Comput. Stat. Data Anal. 179: 107626 (2023)
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Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin:
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models. J. Mach. Learn. Res. 24: 77:1-77:42 (2023)
2021
[i1]
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  - journals/corr/abs-2105-04046
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Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin:
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models. CoRR abs/2105.04046 (2021)

2010 – 2019

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2019
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  - journals/sac/ChaeMW19
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Minwoo Chae, Ryan Martin, Stephen G. Walker:
On an algorithm for solving Fredholm integrals of the first kind. Stat. Comput. 29(4): 645-654 (2019)
2016
[c1]
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  - conf/pkdd/KimCJKC16
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Yongdai Kim, Minwoo Chae, Kuhwan Jeong, Byungyup Kang, Hyoju Chung:
An Online Gibbs Sampler Algorithm for Hierarchical Dirichlet Processes Prior. ECML/PKDD (1) 2016: 509-523

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