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Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow


Jan 04, 2023
Yuling Yan, Kaizheng Wang, Philippe Rigollet

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Variable Clustering via Distributionally Robust Nodewise Regression


Dec 21, 2022
Kaizheng Wang, Xiao Xu, Xun Yu Zhou

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* 34 pages 

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An introduction to optimization under uncertainty -- A short survey


Dec 01, 2022
Keivan Shariatmadar, Kaizheng Wang, Calvin R. Hubbard, Hans Hallez, David Moens

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* 13 pages 

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Adaptive and Robust Multi-task Learning


Feb 10, 2022
Yaqi Duan, Kaizheng Wang

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* 60 pages, 2 figures 

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Clustering a Mixture of Gaussians with Unknown Covariance


Oct 04, 2021
Damek Davis, Mateo Diaz, Kaizheng Wang

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* 89 pages 

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An $\ell_p$ theory of PCA and spectral clustering


Jun 24, 2020
Emmanuel Abbe, Jianqing Fan, Kaizheng Wang

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* 67 pages 

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Efficient Clustering for Stretched Mixtures: Landscape and Optimality


Apr 26, 2020
Kaizheng Wang, Yuling Yan, Mateo Diaz

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* 32 pages 

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Some compact notations for concentration inequalities and user-friendly results


Dec 31, 2019
Kaizheng Wang

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* 10 pages 

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