XuanLong Nguyen

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Martin WainwrightProfessor, EECS/Mathematics, Massachusetts Institute of TechnologyDirección de correo verificada de mit.edu
Hung Q. NgoRelationalAIDirección de correo verificada de relational.ai
Nhat HoProfessor at University of Texas, AustinDirección de correo verificada de utexas.edu
Maximilian SchleichUniversity of WashingtonDirección de correo verificada de cs.washington.edu
Dan OlteanuProfessor of Computer Science, University of ZurichDirección de correo verificada de ifi.uzh.ch
Mikhail YurochkinResearch Manager, Statistical Large Language Modeling, IBM Research and MIT-IBM Watson AI LabDirección de correo verificada de umich.edu
Dennis AssanisProfessor of Mechanical Engineering, University of DelawareDirección de correo verificada de udel.edu
Aritra GuhaData Science and AI Research, AT&TDirección de correo verificada de umich.edu
Vijay Manikandan JanakiramanNASA Ames Research CenterDirección de correo verificada de umich.edu
Hung BuiResearch Scientist, Google DeepMindDirección de correo verificada de google.com
Mahmoud Abo KhamisRelationalAI (mahmoud.abokhamis@relational.ai)Dirección de correo verificada de relational.ai
Anthony D. JosephUniversity of California BerkeleyDirección de correo verificada de eecs.berkeley.edu
Subbarao KambhampatiArizona State UniversityDirección de correo verificada de asu.edu
Dinh PhungProfessor, Monash UniversityDirección de correo verificada de monash.edu
Ling HuangAHI FintechDirección de correo verificada de cs.berkeley.edu
Minos GarofalakisDirector, IMSI, Athena RC; Professor, School of ECE, TU CreteDirección de correo verificada de softnet.tuc.gr
Nina TaftPrincipal Research Scientist, GoogleDirección de correo verificada de google.com
Viet HuynhLecturer (Assistant Professor) at Edith Cowan UniversityDirección de correo verificada de ecu.edu.au
Svetha VenkateshDeakin Distinguished Professor, Deakin UniversityDirección de correo verificada de deakin.edu.au

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XuanLong Nguyen

University of Michigan

Dirección de correo verificada de umich.edu - Página principal

statistics machine learning information theory artificial intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Estimating divergence functionals and the likelihood ratio by convex risk minimization XL Nguyen, MJ Wainwright, MI Jordan IEEE Transactions on Information Theory 56 (11), 5847-5861, 2010	927	2010
Understanding the limiting factors of topic modeling via posterior contraction analysis J Tang, Z Meng, X Nguyen, Q Mei, M Zhang International conference on machine learning, 190-198, 2014	381	2014
In-network PCA and anomaly detection L Huang, XL Nguyen, M Garofalakis, M Jordan, A Joseph, N Taft Advances in neural information processing systems 19, 2006	296	2006
Reviving partial order planning XL Nguyen, S Kambhampati IJCAI 1, 459-464, 2001	243	2001
A kernel-based learning approach to ad hoc sensor network localization XL Nguyen, MI Jordan, B Sinopoli ACM Transactions on Sensor Networks (TOSN) 1 (1), 134-152, 2005	237	2005
Convergence of latent mixing measures in finite and infinite mixture models XL Nguyen	224	2013
On surrogate loss functions and f-divergences XL Nguyen, MJ Wainwright, MI Jordan	203*	2009
Communication-efficient online detection of network-wide anomalies L Huang, XL Nguyen, M Garofalakis, JM Hellerstein, MI Jordan, ... IEEE INFOCOM 2007-26th IEEE International Conference on Computer …, 2007	185	2007
Multilevel clustering via Wasserstein means N Ho, XL Nguyen, M Yurochkin, HH Bui, V Huynh, D Phung International conference on machine learning, 1501-1509, 2017	158	2017
Planning graph as the basis for deriving heuristics for plan synthesis by state space and CSP search XL Nguyen, S Kambhampati, RS Nigenda Artificial Intelligence 135 (1-2), 73-123, 2002	146	2002
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization XL Nguyen, MJ Wainwright, M Jordan Advances in neural information processing systems 20, 2007	136	2007
Nonparametric decentralized detection using kernel methods XL Nguyen, MJ Wainwright, MI Jordan IEEE Transactions on Signal Processing 53 (11), 4053-4066, 2005	117*	2005
Nonlinear identification of a gasoline HCCI engine using neural networks coupled with principal component analysis VM Janakiraman, XL Nguyen, D Assanis Applied Soft Computing 13 (5), 2375-2389, 2013	102	2013
Convergence rates of parameter estimation for some weakly identifiable finite mixtures N Ho, XL Nguyen	100	2016
In-database learning with sparse tensors M Abo Khamis, HQ Ngo, XL Nguyen, D Olteanu, M Schleich Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2018	86	2018
A layered aggregate engine for analytics workloads M Schleich, D Olteanu, M Abo Khamis, HQ Ngo, XL Nguyen Proceedings of the 2019 International Conference on Management of Data, 1642 …, 2019	77	2019
On strong identifiability and convergence rates of parameter estimation in finite mixtures N Ho, XL Nguyen	75	2016
AC/DC: in-database learning thunderstruck MA Khamis, HQ Ngo, XL Nguyen, D Olteanu, M Schleich Proceedings of the second workshop on data management for end-to-end machine …, 2018	69	2018
Parallel feature selection inspired by group testing Y Zhou, U Porwal, C Zhang, HQ Ngo, XL Nguyen, C Ré, V Govindaraju Advances in neural information processing systems 27, 2014	68	2014
Extracting effective and admissible state space heuristics from the planning graph X Nguyen, S Kambhampati AAAI/IAAI, 798-805, 2000	67	2000

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