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Namjoon Suh
Observed name:
Suh, Namjoon
Institutions:
Microsoft (United States),
Massachusetts Institute of Technology
Observed institutions:
Microsoft (United States),
Georgia Institute of Technology,
University of California, Los Angeles,
UCLA Health,
Laboratoire d'Informatique de Paris-Nord,
Massachusetts Institute of Technology
show all 6
OpenAlex ID:
A5041978325
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models
2024
·
Namjoon Suh
, Guang Cheng
·
Annual Review of Statistics and Its Application
·
11
Fused LassoNet: Sequential feature selection for spectral data with neural networks
2025
·
Chaeyun Yeo
, Namjoon Suh
, et al.
·
Chemometrics and Intelligent Laboratory Systems
·
9
Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory
2022
·
Yuchen He
, Namjoon Suh
, et al.
·
SIAM/ASA Journal on Uncertainty Quantification
·
9
AutoDiff: combining Auto-encoder and Diffusion model for tabular data synthesizing
2023
·
Suh, Namjoon
, Lin, Xiaofeng
, et al.
·
arXiv (Cornell University)
·
5
PDF
TimeAutoDiff: A Unified Framework for Generation, Imputation, Forecasting, and Time-Varying Metadata Conditioning of Heterogeneous Time Series Tabular Data
2024
·
Suh, Namjoon
, Yang, Yuning
, et al.
·
arXiv (Cornell University)
·
2
PDF
High-Dimensional Multivariate Linear Regression with Weighted Nuclear Norm Regularization
2024
·
Namjoon Suh
, Li-Hsiang Lin
, et al.
·
Journal of Computational and Graphical Statistics
·
2
Adaptive Online Monitoring of the Ising model
2019
·
Namjoon Suh
, Ruizhi Zhang
, et al.
·
Allerton Conference on Communication, Control, and Computing
·
2
On Excess Risk Convergence Rates of Neural Network Classifiers
2026
·
Hyunouk Ko
, Namjoon Suh
, et al.
·
IEEE Transactions on Information Theory
·
1
PDF
Discriminative Estimation of Total Variation Distance: A Fidelity Auditor for Generative Data
2024
·
Tao, Lan
, Xu, Shirong
, et al.
·
arXiv (Cornell University)
·
1
PDF
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models
2024
·
Suh, Namjoon
, Cheng, Guang
·
arXiv (Cornell University)
·
1
PDF
Users Mispredict Their Own Preferences for AI Writing Assistance
2026
·
Lai, Vivian
, Buçinca, Zana
, et al.
·
arXiv (Cornell University)
PDF
Neural Operators for Nonlinear Functionals on RKHS
2024
·
Zhou, Tian-Yi
, Suh, Namjoon
, et al.
·
arXiv (Cornell University)
PDF
Theoretical Understanding of In-Context Learning in Shallow Transformers with Unstructured Data
2024
·
Xing, Yue
, Lin, Xiaofeng
, et al.
·
arXiv (Cornell University)
PDF
Asymptotic Theory of 𝓁 1 -Regularized PDE Identification from a Single Noisy Trajectory.
2021
·
Yuchen He
, Namjoon Suh
, et al.
·
arXiv (Cornell University)
Asymptotic Theory of $\ell_1$-Regularized PDE Identification from a Single Noisy Trajectory
2021
·
He, Yuchen
, Suh, Namjoon
, et al.
·
arXiv (Cornell University)
PDF
A network model that combines latent factors and sparse graphs
2020
·
Namjoon Suh
, Xiaoming Huo
, et al.
·
Statistical Analysis and Data Mining The ASA Data Science Journal
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model
2019
·
Suh, Namjoon
, Huo, Xiaoming
, et al.
·
arXiv (Cornell University)
PDF
Review on Parameter Estimation in HMRF
2017
·
Suh, Namjoon
·
arXiv (Cornell University)
PDF
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Works count:
20
Citation count:
43
H-index:
4
I10-index:
1
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