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Journal Articles
- 2022
[j2]Yuchen He
, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, Yajun Mei:
Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory. SIAM/ASA J. Uncertain. Quantification 10(1): 1012-1036 (2022)- 2021
- [j1]Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky:
A network model that combines latent factors and sparse graphs. Stat. Anal. Data Min. 14(2): 97-115 (2021)
Conference and Workshop Papers
- 2023
- [c3]Namjoon Suh, Tian-Yi Zhou, Xiaoming Huo:
Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks. ICLR 2023 - 2022
- [c2]Namjoon Suh, Hyunouk Ko, Xiaoming Huo:
A Non-Parametric Regression Viewpoint : Generalization of Overparametrized Deep RELU Network Under Noisy Observations. ICLR 2022 - 2019
- [c1]Namjoon Suh, Ruizhi Zhang, Yajun Mei:
Adaptive Online Monitoring of the Ising model. Allerton 2019: 426-431
Informal and Other Publications
- 2024
- [i9]Namjoon Suh, Guang Cheng:
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models. CoRR abs/2401.07187 (2024) - [i8]Yue Xing, Xiaofeng Lin, Namjoon Suh, Qifan Song, Guang Cheng:
Benefits of Transformer: In-Context Learning in Linear Regression Tasks with Unstructured Data. CoRR abs/2402.00743 (2024) - [i7]Tian-Yi Zhou, Namjoon Suh, Guang Cheng, Xiaoming Huo:
Approximation of RKHS Functionals by Neural Networks. CoRR abs/2403.12187 (2024) - [i6]Lan Tao, Shirong Xu, Chi-Hua Wang, Namjoon Suh, Guang Cheng:
Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data. CoRR abs/2405.15337 (2024) - [i5]Namjoon Suh, Yuning Yang, Din-Yin Hsieh, Qitong Luan, Shirong Xu, Shixiang Zhu, Guang Cheng:
TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing. CoRR abs/2406.16028 (2024) - 2023
- [i4]Hyunouk Ko, Namjoon Suh, Xiaoming Huo:
On Excess Risk Convergence Rates of Neural Network Classifiers. CoRR abs/2309.15075 (2023) - [i3]Namjoon Suh, Xiaofeng Lin, Din-Yin Hsieh, Merhdad Honarkhah, Guang Cheng:
AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing. CoRR abs/2310.15479 (2023) - 2021
- [i2]Yuchen He, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, Yajun Mei:
Asymptotic Theory of 𝓁1-Regularized PDE Identification from a Single Noisy Trajectory. CoRR abs/2103.07045 (2021) - 2019
- [i1]Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky:
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model. CoRR abs/1912.00524 (2019)
Coauthor Index
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