← Authors

Xuanlong Nguyen

19 papers · 2006–2024 · 5 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (5) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (13) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸƒ Academic Marathon (18) πŸ—ΊοΈ Taxonomy Completionist (19) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🌱 Topic Pioneer πŸ† Keyword Champion πŸ—ƒοΈ Keyword Collector (109) πŸ“ˆ Trend Setter πŸ’Ž Century Club (19) πŸ”₯ Unstoppable (6) πŸš€ Conference Pioneer

Conferences

NIPS (9) ICML (6) JMLR (2) AISTATS (1) UAI (1)

Top co-authors

Mikhail Yurochkin (7) Aritra Guha (7) nhαΊ­t Hα»“ (4) Dinh Phung (3) Michael I. Jordan (2) Ding Zhao (2) Dat Do (2) Viet Huynh (2) Hung Bui (2) Jiacheng Zhu (2)

Research topics

Statistics (1) Probability (1)

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