![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
XuanLong Nguyen
Person information
- affiliation: University of Michigan, Department of Statistics
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2021
- [j15]Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, Dinh Q. Phung:
On efficient multilevel Clustering via Wasserstein distances. J. Mach. Learn. Res. 22: 145:1-145:43 (2021) - 2020
- [j14]Mahmoud Abo Khamis
, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich:
Learning Models over Relational Data Using Sparse Tensors and Functional Dependencies. ACM Trans. Database Syst. 45(2): 7:1-7:66 (2020) - [j13]Mahmoud Abo Khamis
, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich:
Functional Aggregate Queries with Additive Inequalities. ACM Trans. Database Syst. 45(4): 17:1-17:41 (2020) - 2019
- [j12]Nhat Ho, XuanLong Nguyen:
Singularity Structures and Impacts on Parameter Estimation in Finite Mixtures of Distributions. SIAM J. Math. Data Sci. 1(4): 730-758 (2019) - 2016
- [j11]Vijay Manikandan Janakiraman, XuanLong Nguyen, Dennis Assanis:
An ELM based predictive control method for HCCI engines. Eng. Appl. Artif. Intell. 48: 106-118 (2016) - [j10]Vijay Manikandan Janakiraman, XuanLong Nguyen, Dennis Assanis:
Stochastic gradient based extreme learning machines for stable online learning of advanced combustion engines. Neurocomputing 177: 304-316 (2016) - [j9]Hossein Keshavarz
, Clayton Scott, XuanLong Nguyen:
On the consistency of inversion-free parameter estimation for Gaussian random fields. J. Multivar. Anal. 150: 245-266 (2016) - 2015
- [j8]Vijay Manikandan Janakiraman, XuanLong Nguyen, Jeff Sterniak, Dennis Assanis:
Identification of the Dynamic Operating Envelope of HCCI Engines Using Class Imbalance Learning. IEEE Trans. Neural Networks Learn. Syst. 26(1): 98-112 (2015) - 2013
- [j7]Vijay Manikandan Janakiraman, XuanLong Nguyen, Dennis Assanis:
Nonlinear identification of a gasoline HCCI engine using neural networks coupled with principal component analysis. Appl. Soft Comput. 13(5): 2375-2389 (2013) - [j6]Arash A. Amini, XuanLong Nguyen:
Sequential Detection of Multiple Change Points in Networks: A Graphical Model Approach. IEEE Trans. Inf. Theory 59(9): 5824-5841 (2013) - 2010
- [j5]XuanLong Nguyen, Martin J. Wainwright
, Michael I. Jordan
:
Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization. IEEE Trans. Inf. Theory 56(11): 5847-5861 (2010) - 2008
- [j4]XuanLong Nguyen, Martin J. Wainwright
, Michael I. Jordan
:
On Optimal Quantization Rules for Some Problems in Sequential Decentralized Detection. IEEE Trans. Inf. Theory 54(7): 3285-3295 (2008) - 2005
- [j3]XuanLong Nguyen, Michael I. Jordan
, Bruno Sinopoli:
A kernel-based learning approach to ad hoc sensor network localization. ACM Trans. Sens. Networks 1(1): 134-152 (2005) - [j2]XuanLong Nguyen, Martin J. Wainwright
, Michael I. Jordan
:
Nonparametric decentralized detection using kernel methods. IEEE Trans. Signal Process. 53(11): 4053-4066 (2005) - 2002
- [j1]XuanLong Nguyen, Subbarao Kambhampati, Romeo Sanchez Nigenda
:
Planning graph as the basis for deriving heuristics for plan synthesis by state space and CSP search. Artif. Intell. 135(1-2): 73-123 (2002)
Conference and Workshop Papers
- 2023
- [c36]Aritra Guha, Nhat Ho, XuanLong Nguyen:
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances. ICML 2023: 11847-11870 - [c35]Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao:
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics. ICML 2023: 43129-43157 - [c34]Sunrit Chakraborty, Aritra Guha, Rayleigh Lei, XuanLong Nguyen:
Scalable nonparametric Bayesian learning for dynamic velocity fields. UAI 2023: 282-292 - 2022
- [c33]Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren:
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. CHIL 2022: 354-374 - [c32]Dat Do, Nhat Ho, XuanLong Nguyen:
Beyond black box densities: Parameter learning for the deviated components. NeurIPS 2022 - 2020
- [c31]Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich:
Rk-means: Fast Clustering for Relational Data. AISTATS 2020: 2742-2752 - 2019
- [c30]Mikhail Yurochkin, Aritra Guha, Yuekai Sun, XuanLong Nguyen:
Dirichlet Simplex Nest and Geometric Inference. ICML 2019: 7262-7271 - [c29]Mikhail Yurochkin, Zhiwei Fan, Aritra Guha, Paraschos Koutris, XuanLong Nguyen:
Scalable inference of topic evolution via models for latent geometric structures. NeurIPS 2019: 5949-5959 - [c28]Mahmoud Abo Khamis
, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich:
On Functional Aggregate Queries with Additive Inequalities. PODS 2019: 414-431 - [c27]Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis
, Hung Q. Ngo, XuanLong Nguyen:
A Layered Aggregate Engine for Analytics Workloads. SIGMOD Conference 2019: 1642-1659 - [c26]Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen:
Learning Models over Relational Data: A Brief Tutorial. SUM 2019: 423-432 - 2018
- [c25]Mahmoud Abo Khamis
, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich:
In-Database Learning with Sparse Tensors. PODS 2018: 325-340 - [c24]Mahmoud Abo Khamis
, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich:
AC/DC: In-Database Learning Thunderstruck. DEEM@SIGMOD 2018: 8:1-8:10 - 2017
- [c23]Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich:
In-Database Factorized Learning. AMW 2017 - [c22]Nhat Ho, XuanLong Nguyen, Mikhail Yurochkin, Hung Hai Bui, Viet Huynh, Dinh Q. Phung:
Multilevel Clustering via Wasserstein Means. ICML 2017: 1501-1509 - [c21]Mikhail Yurochkin, XuanLong Nguyen, Nikolaos Vasiloglou:
Multi-way Interacting Regression via Factorization Machines. NIPS 2017: 2598-2606 - [c20]Mikhail Yurochkin, Aritra Guha, XuanLong Nguyen:
Conic Scan-and-Cover algorithms for nonparametric topic modeling. NIPS 2017: 3878-3887 - 2016
- [c19]Mikhail Yurochkin, XuanLong Nguyen:
Geometric Dirichlet Means Algorithm for topic inference. NIPS 2016: 2505-2513 - [c18]Viet Huynh, Dinh Q. Phung, Svetha Venkatesh, XuanLong Nguyen, Matthew D. Hoffman, Hung Hai Bui:
Scalable Nonparametric Bayesian Multilevel Clustering. UAI 2016 - 2015
- [c17]Viet Huynh
, Dinh Q. Phung
, XuanLong Nguyen, Svetha Venkatesh
, Hung Hai Bui:
Learning Conditional Latent Structures from Multiple Data Sources. PAKDD (1) 2015: 343-354 - 2014
- [c16]Jian Tang, Zhaoshi Meng, XuanLong Nguyen, Qiaozhu Mei, Ming Zhang:
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis. ICML 2014: 190-198 - [c15]Tien-Vu Nguyen, Dinh Quoc Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Bui:
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. ICML 2014: 288-296 - 2013
- [c14]Arash A. Amini, XuanLong Nguyen:
Bayesian inference as iterated random functions with applications to sequential inference in graphical models. NIPS 2013: 2922-2930 - 2012
- [c13]XuanLong Nguyen, Arash A. Amini, Ram Rajagopal:
Message-passing sequential detection of multiple change points in networks. ISIT 2012: 2007-2011 - 2008
- [c12]Ram Rajagopal, XuanLong Nguyen, Sinem Coleri Ergen
, Pravin Varaiya:
Distributed Online Simultaneous Fault Detection for Multiple Sensors. IPSN 2008: 133-144 - [c11]XuanLong Nguyen, Ling Huang, Anthony D. Joseph
:
Support Vector Machines, Data Reduction, and Approximate Kernel Matrices. ECML/PKDD (2) 2008: 137-153 - 2007
- [c10]Ling Huang, XuanLong Nguyen, Minos N. Garofalakis, Joseph M. Hellerstein, Michael I. Jordan
, Anthony D. Joseph
, Nina Taft:
Communication-Efficient Online Detection of Network-Wide Anomalies. INFOCOM 2007: 134-142 - [c9]XuanLong Nguyen, Martin J. Wainwright
, Michael I. Jordan
:
Nonparametric estimation of the likelihood ratio and divergence functionals. ISIT 2007: 2016-2020 - [c8]XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan:
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization. NIPS 2007: 1089-1096 - 2006
- [c7]XuanLong Nguyen, Martin J. Wainwright
, Michael I. Jordan
:
On optimal quantization rules for sequential decision problems. ISIT 2006: 2652-2656 - [c6]Ling Huang, XuanLong Nguyen, Minos N. Garofalakis, Michael I. Jordan, Anthony D. Joseph, Nina Taft:
In-Network PCA and Anomaly Detection. NIPS 2006: 617-624 - 2005
- [c5]XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan:
Divergences, surrogate loss functions and experimental design. NIPS 2005: 1011-1018 - 2004
- [c4]XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan:
Decentralized detection and classification using kernel methods. ICML 2004 - 2003
- [c3]XuanLong Nguyen, Michael I. Jordan:
On the Concentration of Expectation and Approximate Inference in Layered Networks. NIPS 2003: 393-400 - 2001
- [c2]XuanLong Nguyen, Subbarao Kambhampati:
Reviving Partial Order Planning. IJCAI 2001: 459-466 - 2000
- [c1]XuanLong Nguyen, Subbarao Kambhampati:
Extracting Effective and Admissible State Space Heuristics from the Planning Graph. AAAI/IAAI 2000: 798-805
Informal and Other Publications
- 2023
- [i28]Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, XuanLong Nguyen, Bo Li, Ding Zhao
:
Interpolation for Robust Learning: Data Augmentation on Geodesics. CoRR abs/2302.02092 (2023) - 2022
- [i27]Dat Do, Nhat Ho, XuanLong Nguyen:
Beyond Black Box Densities: Parameter Learning for the Deviated Components. CoRR abs/2202.02651 (2022) - [i26]Jiacheng Zhu, Gregory Darnell, Agni Kumar, Ding Zhao, Bo Li, XuanLong Nguyen, Shirley You Ren:
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression. CoRR abs/2203.12595 (2022) - 2021
- [i25]Jiacheng Zhu, Aritra Guha, Mengdi Xu, Yingchen Ma, Rayleigh Lei, Vincenzo Loffredo, XuanLong Nguyen, Ding Zhao
:
Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data. CoRR abs/2102.03895 (2021) - [i24]Sunrit Chakraborty, Aritra Guha, Rayleigh Lei, XuanLong Nguyen:
Scalable nonparametric Bayesian learning for heterogeneous and dynamic velocity fields. CoRR abs/2102.07695 (2021) - 2020
- [i23]Aritra Guha, Rayleigh Lei, Jiacheng Zhu, XuanLong Nguyen, Ding Zhao
:
Robust Unsupervised Learning of Temporal Dynamic Interactions. CoRR abs/2006.10241 (2020) - 2019
- [i22]Mikhail Yurochkin, Aritra Guha, Yuekai Sun, XuanLong Nguyen:
Dirichlet Simplex Nest and Geometric Inference. CoRR abs/1905.11009 (2019) - [i21]Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen:
A Layered Aggregate Engine for Analytics Workloads. CoRR abs/1906.08687 (2019) - [i20]Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, Dinh Q. Phung:
On Efficient Multilevel Clustering via Wasserstein Distances. CoRR abs/1909.08787 (2019) - [i19]Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich:
Rk-means: Fast Clustering for Relational Data. CoRR abs/1910.04939 (2019) - [i18]Maximilian Schleich, Dan Olteanu, Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen:
Learning Models over Relational Data: A Brief Tutorial. CoRR abs/1911.06577 (2019) - 2018
- [i17]Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich:
AC/DC: In-Database Learning Thunderstruck. CoRR abs/1803.07480 (2018) - [i16]Mikhail Yurochkin, Zhiwei Fan, Aritra Guha, Paraschos Koutris, XuanLong Nguyen:
Streaming dynamic and distributed inference of latent geometric structures. CoRR abs/1809.08738 (2018) - [i15]Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich:
On Functional Aggregate Queries with Additive Inequalities. CoRR abs/1812.09526 (2018) - 2017
- [i14]Mahmoud Abo Khamis, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich:
In-Database Learning with Sparse Tensors. CoRR abs/1703.04780 (2017) - 2016
- [i13]Hossein Keshavarz, Clayton Scott, XuanLong Nguyen:
On the consistency of inversion-free parameter estimation for Gaussian random fields. CoRR abs/1601.03822 (2016) - 2015
- [i12]Vijay Manikandan Janakiraman, XuanLong Nguyen, Dennis Assanis:
Nonlinear Model Predictive Control of A Gasoline HCCI Engine Using Extreme Learning Machines. CoRR abs/1501.03969 (2015) - [i11]Vijay Manikandan Janakiraman, XuanLong Nguyen, Dennis Assanis:
Stochastic Gradient Based Extreme Learning Machines For Online Learning of Advanced Combustion Engines. CoRR abs/1501.03975 (2015) - [i10]Hossein Keshavarz, Clayton Scott, XuanLong Nguyen:
Optimal change point detection in Gaussian processes. CoRR abs/1506.01338 (2015) - 2014
- [i9]Vu Nguyen, Dinh Q. Phung, XuanLong Nguyen, Svetha Venkatesh, Hung Hai Bui:
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts. CoRR abs/1401.1974 (2014) - 2013
- [i8]XuanLong Nguyen:
Borrowing strength in hierarchical Bayes: convergence of the Dirichlet base measure. CoRR abs/1301.0802 (2013) - [i7]Vijay Manikandan Janakiraman, XuanLong Nguyen, Jeff Sterniak, Dennis Assanis:
Modeling The Stable Operating Envelope For Partially Stable Combustion Engines Using Class Imbalance Learning. CoRR abs/1306.5702 (2013) - 2012
- [i6]XuanLong Nguyen:
Posterior contraction of the population polytope in finite admixture models. CoRR abs/1206.0068 (2012) - 2010
- [i5]XuanLong Nguyen:
Inference of global clusters from locally distributed data. CoRR abs/1001.0597 (2010) - [i4]Ram Rajagopal, XuanLong Nguyen, Sinem Coleri Ergen, Pravin Varaiya:
Simultaneous Sequential Detection of Multiple Interacting Faults. CoRR abs/1012.1258 (2010) - 2008
- [i3]XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan:
Estimating divergence functionals and the likelihood ratio by convex risk minimization. CoRR abs/0809.0853 (2008) - 2006
- [i2]XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan:
On optimal quantization rules for some sequential decision problems. CoRR abs/math/0608556 (2006) - 2005
- [i1]XuanLong Nguyen, Martin J. Wainwright, Michael I. Jordan:
On divergences, surrogate loss functions, and decentralized detection. CoRR abs/math/0510521 (2005)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-14 23:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint