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Beyond Black Box Densities: Parameter Learning for the Deviated Components


Feb 05, 2022
Dat Do, Nhat Ho, XuanLong Nguyen

* 44 pages, 3 figures. Dat Do and Nhat Ho contributed equally to this work 

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Scalable nonparametric Bayesian learning for heterogeneous and dynamic velocity fields


Feb 15, 2021
Sunrit Chakraborty, Aritra Guha, Rayleigh Lei, XuanLong Nguyen

* 5 tables, 8 figures 

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Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data


Feb 09, 2021
Jiacheng Zhu, Aritra Guha, Mengdi Xu, Yingchen Ma, Rayleigh Lei, Vincenzo Loffredo, XuanLong Nguyen, Ding Zhao

* 10 pages, 6 figures, 2 tables 

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Robust Unsupervised Learning of Temporal Dynamic Interactions


Jun 18, 2020
Aritra Guha, Rayleigh Lei, Jiacheng Zhu, XuanLong Nguyen, Ding Zhao


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Rk-means: Fast Clustering for Relational Data


Oct 11, 2019
Ryan Curtin, Ben Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich


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On Efficient Multilevel Clustering via Wasserstein Distances


Sep 19, 2019
Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, and Dinh Phung

* 42 pages, 8 figures, JMLR submission. arXiv admin note: substantial text overlap with arXiv:1706.03883 

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Dirichlet Simplex Nest and Geometric Inference


May 27, 2019
Mikhail Yurochkin, Aritra Guha, Yuekai Sun, XuanLong Nguyen

* ICML 2019 

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On Functional Aggregate Queries with Additive Inequalities


Dec 22, 2018
Mahmoud Abo Khamis, Ryan R. Curtin, Benjamin Moseley, Hung Q. Ngo, XuanLong Nguyen, Dan Olteanu, Maximilian Schleich


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Streaming dynamic and distributed inference of latent geometric structures


Sep 24, 2018
Mikhail Yurochkin, Zhiwei Fan, Aritra Guha, Paraschos Koutris, XuanLong Nguyen


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Singularity structures and impacts on parameter estimation in finite mixtures of distributions


Sep 01, 2018
Nhat Ho, XuanLong Nguyen

* 86 pages. This version includes new notions of singularities in finite mixtures based on several new types of optimal transportation distances 

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