Kean Ming Tan

According to our database, Kean Ming Tan authored at least 13 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Latent Variable Framework for Scaling Laws in Large Language Models.

Peiyao Cai, Chengyu Cui, Felipe Maia Polo, Seamus Somerstep, Leshem Choshen, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun, Kean Ming Tan, Gongjun Xu

CoRR, December, 2025

Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors.

Gaoyu Wu, Jelena Bradic, Kean Ming Tan, Wen-Xin Zhou

J. Mach. Learn. Res., 2025

Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data.

Yanxin Jin, Yang Ning, Kean Ming Tan

J. Mach. Learn. Res., 2025

2024

A Unified Algorithm for Penalized Convolution Smoothed Quantile Regression.

Rebeka Man, Xiaoou Pan, Kean Ming Tan, Wen-Xin Zhou

J. Comput. Graph. Stat., 2024

2023

High-Dimensional Inference for Generalized Linear Models with Hidden Confounding.

Jing Ouyang, Kean Ming Tan, Gongjun Xu

J. Mach. Learn. Res., 2023

2022

Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees.

Kean Ming Tan, Heather Battey, Wen-Xin Zhou

J. Mach. Learn. Res., 2022

2021

Model Linkage Selection for Cooperative Learning.

Jiaying Zhou, Jie Ding, Kean Ming Tan, Vahid Tarokh

J. Mach. Learn. Res., 2021

2019

Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models.

Kean Ming Tan, Junwei Lu, Tong Zhang, Han Liu

J. Mach. Learn. Res., 2019

2018

Distributionally Robust Reduced Rank Regression and Principal Component Analysis in High Dimensions.

Kean Ming Tan, Qiang Sun, Daniela M. Witten

CoRR, 2018

A convex formulation for high-dimensional sparse sliced inverse regression.

Kean Ming Tan, Zhaoran Wang, Tong Zhang, Han Liu, R. Dennis Cook

CoRR, 2018

Graphical Nonconvex Optimization via an Adaptive Convex Relaxation.

Qiang Sun, Kean Ming Tan, Han Liu, Tong Zhang

Proceedings of the 35th International Conference on Machine Learning, 2018

2015

The cluster graphical lasso for improved estimation of Gaussian graphical models.

Kean Ming Tan, Daniela M. Witten, Ali Shojaie

Comput. Stat. Data Anal., 2015

2014

Learning graphical models with hubs.

Kean Ming Tan, Palma London, Karthik Mohan, Su-In Lee, Maryam Fazel, Daniela M. Witten

J. Mach. Learn. Res., 2014