Kean Ming Tan
8 papers · 2014–2025 · 2 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (21) π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze π£ Hot Topic Early Bird
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Keyword Champion
(2)
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Keyword Collector
(50)
Top co-authors
Research topics
Machine Learning
(8)
Core Methods
(7)
Optimization & Theory
(6)
Artificial Intelligence
(4)
Mathematics & Optimization
(3)
Core AI
(3)
Application Areas
(2)
Learning Paradigms Β· Machine Learning
(2)
Optimization
(2)
Data Science & Analytics
(1)
Healthcare & Medicine
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Clinical
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Keywords
graphical model
(3)
convex optimization
(2)
distributed learning
(2)
high-dimensional regression
(2)
unmeasured confounder
(2)
high-dimensional inference
(1)
brain connectivity
(1)
variable selection
(1)
sparse regression
(1)
alternating direction method
(1)
quantile regression
(1)
nonparametric regression
(1)
parameter sharing
(1)
exponential family
(1)
convex relaxation
(1)
graphical lasso
(1)
communication efficiency
(1)
high-dimensional estimation
(1)
statistical estimation
(1)
statistical inference
(1)
Papers
Exponential Family Graphical Models: Correlated Replicates and Unmeasured Confounders, with Applications to fMRI Data
JMLR 2025
Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors
JMLR 2025
High-Dimensional Inference for Generalized Linear Models with Hidden Confounding
JMLR 2023
Communication-Constrained Distributed Quantile Regression with Optimal Statistical Guarantees
JMLR 2022
Model Linkage Selection for Cooperative Learning
JMLR 2021
Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models
JMLR 2019
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation
ICML 2018
Learning Graphical Models With Hubs
JMLR 2014