Xuanlong Nguyen
19 papers · 2006–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (51) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Keyword Trendsetter Combo
(5)
π
Keyword Champion
π§
Keyword Pioneer
π
Trend Setter
π
Conference Pioneer
ποΈ
Keyword Collector
(115)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(18)
Core Methods
(14)
Optimization & Theory
(12)
Mathematics & Optimization
(9)
Bayesian & Probabilistic Β· Machine Learning
(8)
Learning Types
(6)
Optimization
(6)
Data Science & Analytics
(4)
Artificial Intelligence
(3)
Natural Language Processing
(3)
Applications Β· Natural Language Processing
(3)
Applications Β· Data Science & Analytics
(3)
Mathematics
(3)
Application Areas
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Keywords
wasserstein distance
(4)
optimal transport
(3)
topic modeling
(3)
multilevel clustering
(3)
gibbs sampling
(3)
bayesian inference
(3)
bayesian nonparametrics
(3)
nonparametric bayesian
(2)
wasserstein barycenter
(2)
posterior contraction
(2)
hierarchical clustering
(2)
latent dirichlet allocation
(2)
probability measure
(2)
statistical learning theory
(1)
statistical analysis
(1)
network anomaly detection
(1)
statistical consistency
(1)
dimensionality reduction
(1)
principal component analysis
(1)
feature selection
(1)
Papers
Functional optimal transport: regularized map estimation and domain adaptation for functional data
JMLR 2024
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics
ICML 2023
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances
ICML 2023
Scalable nonparametric Bayesian learning for dynamic velocity fields
UAI 2023
Beyond black box densities: Parameter learning for the deviated components
NeurIPS 2022
On efficient multilevel Clustering via Wasserstein distances
JMLR 2021
Rk-means: Fast Clustering for Relational Data
AISTATS 2020
Dirichlet Simplex Nest and Geometric Inference
ICML 2019
Scalable inference of topic evolution via models for latent geometric structures
NeurIPS 2019
Conic Scan-and-Cover algorithms for nonparametric topic modeling
NeurIPS 2017
Multilevel Clustering via Wasserstein Means
ICML 2017
Multi-way Interacting Regression via Factorization Machines
NeurIPS 2017
Geometric Dirichlet Means Algorithm for topic inference
NeurIPS 2016
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts
ICML 2014
Parallel Feature Selection Inspired by Group Testing
NeurIPS 2014
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis
ICML 2014
Bayesian inference as iterated random functions with applications to sequential inference in graphical models
NeurIPS 2013
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
NeurIPS 2007
In-Network PCA and Anomaly Detection
NeurIPS 2006