Xuanlong Nguyen
19 papers · 2006–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird
π
Academic Marathon
(18)
πΊοΈ
Taxonomy Completionist
(19)
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(3)
π±
Topic Pioneer
π
Keyword Champion
ποΈ
Keyword Collector
(109)
π
Trend Setter
π
Century Club
(19)
π₯
Unstoppable
(6)
π
Conference Pioneer
Conferences
NIPS (9)
ICML (6)
JMLR (2)
AISTATS (1)
UAI (1)
Top co-authors
Research topics
Keywords
wasserstein distance
(4)
bayesian nonparametrics
(3)
optimal transport
(3)
multilevel clustering
(3)
gibbs sampling
(3)
topic modeling
(3)
bayesian inference
(2)
nonparametric bayesian
(2)
wasserstein barycenter
(2)
posterior contraction
(2)
hierarchical clustering
(2)
latent dirichlet allocation
(2)
probability measure
(2)
density estimation
(1)
statistical learning theory
(1)
variational inference
(1)
statistical analysis
(1)
dirichlet process
(1)
network anomaly detection
(1)
model robustness
(1)
Papers
Functional optimal transport: regularized map estimation and domain adaptation for functional data
JMLR 2024
Scalable nonparametric Bayesian learning for dynamic velocity fields
UAI 2023
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
Beyond black box densities: Parameter learning for the deviated components
NIPS 2022
On efficient multilevel Clustering via Wasserstein distances
JMLR 2021
Rk-means: Fast Clustering for Relational Data
AISTATS 2020
Scalable inference of topic evolution via models for latent geometric structures
NIPS 2019
Dirichlet Simplex Nest and Geometric Inference
ICML 2019
Multi-way Interacting Regression via Factorization Machines
NIPS 2017
Multilevel Clustering via Wasserstein Means
ICML 2017
Conic Scan-and-Cover algorithms for nonparametric topic modeling
NIPS 2017
Geometric Dirichlet Means Algorithm for topic inference
NIPS 2016
Parallel Feature Selection Inspired by Group Testing
NIPS 2014
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis
ICML 2014
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts
ICML 2014
Bayesian inference as iterated random functions with applications to sequential inference in graphical models
NIPS 2013
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
NIPS 2007
In-Network PCA and Anomaly Detection
NIPS 2006