Adaptive Online Monitoring of the Ising model. - Namjoon Suh; Ruizhi Zhang 001; Yajun Mei (Allerton, 2019)

Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model. - Namjoon Suh; Xiaoming Huo; Eric Heim; Lee M. Seversky (CoRR, 2019)

Asymptotic Theory of 𝓁1-Regularized PDE Identification from a Single Noisy Trajectory. - Yuchen He 001; Namjoon Suh; Xiaoming Huo; Sung Ha Kang; Yajun Mei (CoRR, 2021)

A network model that combines latent factors and sparse graphs. - Namjoon Suh; Xiaoming Huo; Eric Heim; Lee M. Seversky (Stat. Anal. Data Min., 2021)

A Non-Parametric Regression Viewpoint : Generalization of Overparametrized Deep RELU Network Under Noisy Observations. - Namjoon Suh; Hyunouk Ko; Xiaoming Huo (ICLR, 2022)

Asymptotic Theory of ( boldsymbol ell _1 ) -Regularized PDE Identification from a Single Noisy Trajectory. - Yuchen He 001; Namjoon Suh; Xiaoming Huo; Sung Ha Kang; Yajun Mei (SIAM/ASA J. Uncertain. Quantification, 2022)

Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks. - Namjoon Suh; Tian-Yi Zhou 009; Xiaoming Huo (ICLR, 2023)

On Excess Risk Convergence Rates of Neural Network Classifiers. - Hyunouk Ko; Namjoon Suh; Xiaoming Huo (CoRR, 2023)

AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing. - Namjoon Suh; Xiaofeng Lin 005; Din-Yin Hsieh; Merhdad Honarkhah; Guang Cheng 003 (CoRR, 2023)

A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models. - Namjoon Suh; Guang Cheng 003 (CoRR, 2024)

Benefits of Transformer: In-Context Learning in Linear Regression Tasks with Unstructured Data. - Yue Xing 002; Xiaofeng Lin 005; Namjoon Suh; Qifan Song; Guang Cheng 003 (CoRR, 2024)

Approximation of RKHS Functionals by Neural Networks. - Tian-Yi Zhou 009; Namjoon Suh; Guang Cheng 003; Xiaoming Huo (CoRR, 2024)

Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data. - Lan Tao; Shirong Xu; Chi-Hua Wang; Namjoon Suh; Guang Cheng 003 (CoRR, 2024)

TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing. - Namjoon Suh; Yuning Yang; Din-Yin Hsieh; Qitong Luan; Shirong Xu; Shixiang Zhu; Guang Cheng 003 (CoRR, 2024)

High-Dimensional Multivariate Linear Regression with Weighted Nuclear Norm Regularization. - Namjoon Suh; Li-Hsiang Lin; Xiaoming Huo (J. Comput. Graph. Stat., 2024)