Xiaotong Shen
14 papers · 2007–2026 · 3 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Bronze π Academic Marathon Β· Full π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver
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Topic Evolution
π
Keyword Champion
(3)
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(71)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Core Methods
(10)
Optimization & Theory
(6)
Learning Types
(4)
Artificial Intelligence
(3)
Core AI
(3)
Deep Learning
(2)
Knowledge & Reasoning
(2)
Mathematics & Optimization
(2)
Models
(2)
Reasoning
(2)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Keywords
penalized regression
(3)
support vector machine
(2)
instrumental variable
(2)
grouping pursuit
(2)
causal inference
(2)
generalized linear model
(2)
large margin
(2)
normalizing flow
(2)
peeling algorithm
(2)
cluster analysis
(2)
semi-supervised learning
(2)
hierarchical classification
(1)
statistical inference
(1)
causal discovery
(1)
em algorithm
(1)
clustering analysis
(1)
variable selection
(1)
text summarization
(1)
matrix factorization
(1)
model selection
(1)
Papers
Enhancing Accuracy in Generative Models via Knowledge Transfer
JMLR 2026
Causal Discovery with Generalized Linear Models through Peeling Algorithms
JMLR 2024
Inference of nonlinear causal effects with application to TWAS with GWAS summary data
CLeaR 2024
Boosting Summarization with Normalizing Flows and Aggressive Training
EMNLP 2023
Inference for a Large Directed Acyclic Graph with Unspecified Interventions
JMLR 2023
A Regularization-Based Adaptive Test for High-Dimensional GLMs
JMLR 2020
Smooth neighborhood recommender systems
JMLR 2019
A New Algorithm and Theory for Penalized Regression-based Clustering
JMLR 2016
Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition
JMLR 2015
Cluster Analysis: Unsupervised Learning via Supervised Learning with a Non-convex Penalty
JMLR 2013
Large Margin Hierarchical Classification with Mutually Exclusive Class Membership
JMLR 2011
On Efficient Large Margin Semisupervised Learning: Method and Theory
JMLR 2009
Large Margin Semi-supervised Learning
JMLR 2007
Penalized Model-Based Clustering with Application to Variable Selection
JMLR 2007