Jun S. Liu
5 papers · 2016–2024 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(18)
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Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(5)
Optimization & Theory
(5)
Core Methods
(4)
Artificial Intelligence
(2)
Learning Types
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Generation
(1)
Mathematics
(1)
Optimization
(1)
Statistics
(1)
Keywords
neural network pruning
(1)
semi-supervised learning
(1)
false discovery rate
(1)
knockoff filter
(1)
statistical inference
(1)
bayesian inference
(1)
text classification
(1)
latent dirichlet allocation
(1)
feature selection
(1)
text summarization
(1)
high-dimensional statistics
(1)
empirical risk minimization
(1)
lasso regression
(1)
signal detection
(1)
conditional probability
(1)
support recovery
(1)
exponential loss
(1)
high-dimensional linear model
(1)
boosting algorithm
(1)
topic model
(1)
Papers
Power of knockoff: The impact of ranking algorithm, augmented design, and symmetric statistic
JMLR 2024
Bayesian Text Classification and Summarization via A Class-Specified Topic Model
JMLR 2021
Probabilistic Connection Importance Inference and Lossless Compression of Deep Neural Networks
ICLR 2020
L1-Regularized Least Squares for Support Recovery of High Dimensional Single Index Models with Gaussian Designs
JMLR 2016
On the Characterization of a Class of Fisher-Consistent Loss Functions and its Application to Boosting
JMLR 2016