Haesun Park
10 papers · 2005–2021 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Full 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18)
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Century Club · Bronze
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Conference Pioneer
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Research topics
Machine Learning
(9)
Core Methods
(8)
Optimization & Theory
(5)
Mathematics & Optimization
(3)
Optimization
(3)
Knowledge & Reasoning
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
sparse learning
(2)
graphical model
(2)
tensor decomposition
(2)
representation learning
(1)
online learning
(1)
matrix factorization
(1)
variable selection
(1)
hypothesis testing
(1)
parameter estimation
(1)
feature selection
(1)
kernel principal component analysis
(1)
optimal transport
(1)
kernel approximation
(1)
l1 regularization
(1)
dimension reduction
(1)
text classification
(1)
feature learning
(1)
sparse regularization
(1)
stochastic process
(1)
stochastic optimization
(1)
Papers
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors
AAAI 2021
Understanding Actors and Evaluating Personae with Gaussian Embeddings
AAAI 2019
Multi-scale Nystrom Method
AISTATS 2018
Double Nyström Method: An Efficient and Accurate Nyström Scheme for Large-Scale Data Sets
ICML 2015
Hierarchical Tensor Decomposition of Latent Tree Graphical Models
ICML 2013
Unfolding Latent Tree Structures using 4th Order Tensors
ICML 2013
Learning the Dependency Structure of Latent Factors
NeurIPS 2012
Statistical Optimization of Non-Negative Matrix Factorization
AISTATS 2011
Fast Active-set-type Algorithms for l1-regularized Linear Regression
AISTATS 2010
Dimension Reduction in Text Classification with Support Vector Machines
JMLR 2005