Namjoon Suh - RankMe

18 papers A* 2Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On Excess Risk Convergence Rates of Neural Network Classifiers. IEEE Trans. Inf. Theory Hyunouk Ko, Namjoon Suh, Xiaoming Huo
2026	J	`jnl`	Users Mispredict Their Own Preferences for AI Writing Assistance. CoRR Vivian Lai, Zana Buçinca, Nil-Jana Akpinar, Mo Houtti, Hyeonsu B. Kang, Kevin Chian, Namjoon Suh, Alex C. Williams
2025	J	`jnl`	TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data. Trans. Mach. Learn. Res. Namjoon Suh, Yuning Yang, Din-Yin Hsieh, Qitong Luan, Shirong Xu, Shixiang Zhu, Guang Cheng
2024	J	`jnl`	A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models. CoRR Namjoon Suh, Guang Cheng
2024	J	`jnl`	Approximation of RKHS Functionals by Neural Networks. CoRR Tian-Yi Zhou, Namjoon Suh, Guang Cheng, Xiaoming Huo
2024	J	`jnl`	Benefits of Transformer: In-Context Learning in Linear Regression Tasks with Unstructured Data. CoRR Yue Xing, Xiaofeng Lin, Namjoon Suh, Qifan Song, Guang Cheng
2024	J	`jnl`	Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data. CoRR Lan Tao, Shirong Xu, Chi-hua Wang, Namjoon Suh, Guang Cheng
2024	J	`jnl`	High-Dimensional Multivariate Linear Regression with Weighted Nuclear Norm Regularization. J. Comput. Graph. Stat. Namjoon Suh, Li-Hsiang Lin, Xiaoming Huo
2024	J	`jnl`	TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing. CoRR Namjoon Suh, Yuning Yang, Din-Yin Hsieh, Qitong Luan, Shirong Xu, Shixiang Zhu, Guang Cheng
2023	A*	`conf`	Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks. ICLR Namjoon Suh, Tian-Yi Zhou, Xiaoming Huo
2023	J	`jnl`	AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing. CoRR Namjoon Suh, Xiaofeng Lin, Din-Yin Hsieh, Merhdad Honarkhah, Guang Cheng
2023	J	`jnl`	On Excess Risk Convergence Rates of Neural Network Classifiers. CoRR Hyunouk Ko, Namjoon Suh, Xiaoming Huo
2022	A*	`conf`	A Non-Parametric Regression Viewpoint : Generalization of Overparametrized Deep RELU Network Under Noisy Observations. ICLR Namjoon Suh, Hyunouk Ko, Xiaoming Huo
2022	J	`jnl`	Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory. SIAM/ASA J. Uncertain. Quantification Yuchen He, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, Yajun Mei
2021	J	`jnl`	A network model that combines latent factors and sparse graphs. Stat. Anal. Data Min. Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky
2021	J	`jnl`	Asymptotic Theory of 𝓁 CoRR Yuchen He, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, Yajun Mei
2019	—	`conf`	Adaptive Online Monitoring of the Ising model. Allerton Namjoon Suh, Ruizhi Zhang, Yajun Mei
2019	J	`jnl`	Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model. CoRR Namjoon Suh, Xiaoming Huo, Eric Heim, Lee M. Seversky