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Yen-Chi Chen

Department of Statistics, University of Washington, Seattle

Linear Convergence of the Subspace Constrained Mean Shift Algorithm: From Euclidean to Directional Data


Apr 29, 2021
Yikun Zhang, Yen-Chi Chen

* 75 pages, 9 figures 

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Skeleton Clustering: Dimension-Free Density-based Clustering


Apr 21, 2021
Zeyu Wei, Yen-Chi Chen


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The EM Perspective of Directional Mean Shift Algorithm


Jan 25, 2021
Yikun Zhang, Yen-Chi Chen


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Kernel Smoothing, Mean Shift, and Their Learning Theory with Directional Data


Oct 23, 2020
Yikun Zhang, Yen-Chi Chen

* 82 pages, 10 figures 

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Polygames: Improved Zero Learning


Jan 27, 2020
Tristan Cazenave, Yen-Chi Chen, Guan-Wei Chen, Shi-Yu Chen, Xian-Dong Chiu, Julien Dehos, Maria Elsa, Qucheng Gong, Hengyuan Hu, Vasil Khalidov, Cheng-Ling Li, Hsin-I Lin, Yu-Jin Lin, Xavier Martinet, Vegard Mella, Jeremy Rapin, Baptiste Roziere, Gabriel Synnaeve, Fabien Teytaud, Olivier Teytaud, Shi-Cheng Ye, Yi-Jun Ye, Shi-Jim Yen, Sergey Zagoruyko


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Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era


Nov 05, 2019
Brian Nord, Andrew J. Connolly, Jamie Kinney, Jeremy Kubica, Gautaum Narayan, Joshua E. G. Peek, Chad Schafer, Erik J. Tollerud, Camille Avestruz, G. Jogesh Babu, Simon Birrer, Douglas Burke, João Caldeira, Douglas A. Caldwell, Joleen K. Carlberg, Yen-Chi Chen, Chuanfei Dong, Eric D. Feigelson, V. Zach Golkhou, Vinay Kashyap, T. S. Li, Thomas Loredo, Luisa Lucie-Smith, Kaisey S. Mandel, J. R. Martínez-Galarza, Adam A. Miller, Priyamvada Natarajan, Michelle Ntampaka, Andy Ptak, David Rapetti, Lior Shamir, Aneta Siemiginowska, Brigitta M. Sipőcz, Arfon M. Smith, Nhan Tran, Ricardo Vilalta, Lucianne M. Walkowicz, John ZuHone

* arXiv admin note: substantial text overlap with arXiv:1905.05116 

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Statistical Inference with Local Optima


Jul 12, 2018
Yen-Chi Chen

* 66 page, 5 figures 

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On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example


Apr 18, 2018
Yen-Chi Chen, Y. Samuel Wang, Elena A. Erosheva

* Accepted to the Annals of Applied Statistics; 34 pages, 8 pages 

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A Note on Community Trees in Networks


Oct 11, 2017
Ruqian Chen, Yen-Chi Chen, Wei Guo, Ashis G. Banerjee


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Statistical Inference using the Morse-Smale Complex


Apr 04, 2017
Yen-Chi Chen, Christopher R. Genovese, Larry Wasserman

* 45 pages, 13 figures. Accepted to Electronic Journal of Statistics 

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Statistical Inference for Cluster Trees


Feb 12, 2017
Jisu Kim, Yen-Chi Chen, Sivaraman Balakrishnan, Alessandro Rinaldo, Larry Wasserman

* 20 pages, 6 figures, accepted in Neural Information Processing Systems (NIPS) 2016 

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Statistical Inference Using Mean Shift Denoising


Oct 13, 2016
Yunhua Xiang, Yen-Chi Chen

* 19 page, 5 figures, 3 tables 

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Nonparametric modal regression


Mar 30, 2016
Yen-Chi Chen, Christopher R. Genovese, Ryan J. Tibshirani, Larry Wasserman

* Annals of Statistics 2016, Vol. 44, No. 2, 489-514 
* Published at http://dx.doi.org/10.1214/15-AOS1373 in the Annals of Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical Statistics (http://www.imstat.org

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A Comprehensive Approach to Mode Clustering


Dec 22, 2015
Yen-Chi Chen, Christopher R. Genovese, Larry Wasserman

* 34 pages, 17 figures. Accepted to the Electronic Journal of Statistics. The original title is "Enhanced Mode Clustering" 

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Statistical Analysis of Persistence Intensity Functions


Oct 08, 2015
Yen-Chi Chen, Daren Wang, Alessandro Rinaldo, Larry Wasserman

* 10 pages, 5 figures 

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Optimal Ridge Detection using Coverage Risk


Jun 07, 2015
Yen-Chi Chen, Christopher R. Genovese, Shirley Ho, Larry Wasserman

* 16 pages, 4 figures 

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Risk Bounds For Mode Clustering


May 03, 2015
Martin Azizyan, Yen-Chi Chen, Aarti Singh, Larry Wasserman


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