Kean Ming Tan

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Papers (12)

1. Inference on Generalized Latent Variable Models with High-Dimensional Responses and Covariates stat.ME · 2026 · author #4
2. Estimating and Inferring the Maximum Degree of Stimulus-Locked Time-Varying Brain Connectivity Networks stat.ML · 2019 · author #1
3. Robust Sparse Reduced Rank Regression in High Dimensions stat.ML · 2018 · author #1
4. A convex formulation for high-dimensional sparse sliced inverse regression stat.ML · 2018 · author #1
5. Graphical Nonconvex Optimization for Optimal Estimation in Gaussian Graphical Models stat.ML · 2017 · author #2
6. Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow stat.ML · 2016 · author #1
7. Local Uncertainty Sampling for Large-Scale Multi-Class Logistic Regression stat.CO · 2016 · author #2
8. Statistical Properties of Convex Clustering stat.ME · 2015 · author #1
9. Laplace Approximation in High-dimensional Bayesian Regression math.ST · 2015 · author #3
10. Selection Bias Correction and Effect Size Estimation under Dependence stat.ME · 2014 · author #1
11. Learning Graphical Models With Hubs stat.ML · 2014 · author #1
12. The Cluster Graphical Lasso for improved estimation of Gaussian graphical models stat.ML · 2013 · author #1

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Frequent Coauthors

• Daniela Witten 5 shared papers
• Tong Zhang 5 shared papers
• Han Liu 4 shared papers
• Qiang Sun 2 shared papers
• Zhaoran Wang 2 shared papers
• Ali Shojaie 1 shared papers
• Chengyu Cui 1 shared papers
• Gongjun Xu 1 shared papers
• Jing Ouyang 1 shared papers
• Junwei Lu 1 shared papers
• Karthik Mohan 1 shared papers
• Lei Han 1 shared papers
• Maryam Fazel 1 shared papers
• Mathias Drton 1 shared papers
• Noah Simon 1 shared papers
• Palma London 1 shared papers
• R. Dennis Cook 1 shared papers
• Rina Foygel Barber 1 shared papers
• Su-In Lee 1 shared papers
• Ting Yang 1 shared papers