XuanLong Nguyen
Affiliations:- University of Michigan, Department of Statistics
According to our database1,
XuanLong Nguyen
authored at least 65 papers
between 2000 and 2023.
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Bibliography
2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the International Conference on Machine Learning, 2023
On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances.
Proceedings of the International Conference on Machine Learning, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression.
Proceedings of the Conference on Health, Inference, and Learning, 2022
2021
J. Mach. Learn. Res., 2021
Scalable nonparametric Bayesian learning for heterogeneous and dynamic velocity fields.
CoRR, 2021
Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data.
CoRR, 2021
2020
Learning Models over Relational Data Using Sparse Tensors and Functional Dependencies.
ACM Trans. Database Syst., 2020
ACM Trans. Database Syst., 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Singularity Structures and Impacts on Parameter Estimation in Finite Mixtures of Distributions.
SIAM J. Math. Data Sci., 2019
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
CoRR, 2018
Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018
Proceedings of the 37th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, 2018
2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 11th Alberto Mendelzon International Workshop on Foundations of Data Management and the Web, 2017
2016
On the consistency of inversion-free parameter estimation for Gaussian random fields.
J. Multivar. Anal., 2016
Stochastic gradient based extreme learning machines for stable online learning of advanced combustion engines.
Neurocomputing, 2016
Eng. Appl. Artif. Intell., 2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
Identification of the Dynamic Operating Envelope of HCCI Engines Using Class Imbalance Learning.
IEEE Trans. Neural Networks Learn. Syst., 2015
Stochastic Gradient Based Extreme Learning Machines For Online Learning of Advanced Combustion Engines.
CoRR, 2015
Nonlinear Model Predictive Control of A Gasoline HCCI Engine Using Extreme Learning Machines.
CoRR, 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
2014
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis.
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Sequential Detection of Multiple Change Points in Networks: A Graphical Model Approach.
IEEE Trans. Inf. Theory, 2013
CoRR, 2013
Modeling The Stable Operating Envelope For Partially Stable Combustion Engines Using Class Imbalance Learning.
CoRR, 2013
Nonlinear identification of a gasoline HCCI engine using neural networks coupled with principal component analysis.
Appl. Soft Comput., 2013
Bayesian inference as iterated random functions with applications to sequential inference in graphical models.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
2012
CoRR, 2012
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012
2010
Estimating Divergence Functionals and the Likelihood Ratio by Convex Risk Minimization.
IEEE Trans. Inf. Theory, 2010
2008
On Optimal Quantization Rules for Some Problems in Sequential Decentralized Detection.
IEEE Trans. Inf. Theory, 2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the 7th International Conference on Information Processing in Sensor Networks, 2008
2007
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the IEEE International Symposium on Information Theory, 2007
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007
2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006
2005
IEEE Trans. Signal Process., 2005
ACM Trans. Sens. Networks, 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
2004
Proceedings of the Machine Learning, 2004
2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
2002
Planning graph as the basis for deriving heuristics for plan synthesis by state space and CSP search.
Artif. Intell., 2002
2001
Reviving Partial Order Planning.
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, 2001
2000
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000