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Spectral clustering and the high-dimensional Stochastic Block Model Karl Rohe, Sourav Chatterjee and Bin Yu Department of Statistics University of California Berkeley, CA 94720, U

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Departments of Statistics and EECS, University of California at Berkeley, Berkeley, CA 94720, USA. E-mail: [email protected] Reproducibility is imperative for any Current Website https://binyu.stat.berkeley.edu Office / Location 409 Evans Hall Phone (510) 642-2021 Email [email protected] Research Expertise and Interests Bin Yu Department of ...

ICML_final_08.dvi

closely related to non-parametric spectral methods, such as spectral clustering (e.g., [8]) and Kernel Prin-cipal Components Analysis [11]. Those methods, as well as certain methods in manifold learning (e.g., [1]), construct a kernel matrix or a graph Laplacian ma-trix associated to a data set. The eigenvectors and

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Bin Yu | Department of Statistics

409 Evans Hall. Phone. (510) 642-2021. Email. [email protected]. Research Expertise and Interests. statistical inference for high dimensional data and interdisciplinary research in neuroscience, remote sensing, …

arXiv:1101.0966v1 [stat.AP] 5 Jan 2011

In the 1980s, the Berkeley Statistics Department's Statistical Computing Facility (SCF) managed mainframe computers named after mus icians such as Bizet and Bach. Later I learned that Leo came back to Berkeley in 1980 ... E-mail: [email protected]. Created Date: 7/18/2012 6:09:27 AM ...

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Boosted Lasso

In this paper, we propose the Boosted Lasso (BLasso) algorithm which ties the Boosting algorithm with the Lasso method. BLasso is derived as a coordinate descent method with a fixed step size applied to the general Lasso loss function (L1 penalized convex loss). It consists of both a forward step and a backward step.

Bin Yu

Research. In 2014, I was elected to the National Academy of Sciences based on my statistical and scientific contributions, as well as my broad vision of data science best …

Veridical data science INAUGURAL ARTICLE

INAUGURAL ARTICLE STATISTICS Veridical data science Bin Yua,b,c,d,1 and Karl Kumbiera aStatistics Department, University of California, Berkeley, CA 94720; bElectrical Engineering and Computer Sciences Department, University of California, Berkeley, CA 94720; cChan Zuckerberg Biohub, San Francisco, CA 94158; and dLawrence Berkeley …

Restricted Eigenvalue Properties for Correlated …

Garvesh Raskutti [email protected] Martin J. Wainwright ∗ [email protected] Bin Yu∗ [email protected] Department of Statistics University of California Berkeley, CA 94720-1776, USA Editor: John Lafferty Abstract Methods based on ℓ1-relaxation, such as basis pursuit and the …

stat berkeley edu binyu ps spectral zenith 791 pdf

Contribute to dinglei2022/en development by creating an account on GitHub.

Bin Yu | Department of Statistics

[email protected]. Dissertation. Some Results on Empirical Processes and Stochastic Complexity. Dissertation Advisor. Terence Speed, Lucien LeCam. Program. ... Department of Statistics 367 Evans Hall, University of California Berkeley, CA 94720-3860 T 510-642-2781 | F 510-642-7892

Cloud Detection over Snow and Ice Using MISR Data

four spectral channels. Cloud detection is particularly di–cult in the snow- and ice-covered po- ... Berkeley, CA 94720-3860. Email: [email protected], [email protected] yDepartment of Meteorology, The Pennsylvania State University, University Park, PA 16802. Email: ... angle using four spectral bands …

Bin Yu

Departments of Statistics and Electrical Engineering and Computer Sciences ... 367 Evans Hall #3860 • Berkeley, CA 94720. phone: 510-642-2781 • fax: 510-642-7892 • [email protected]. Welcome. I'm Bin Yu, the head of the Yu Group at ... UC Berkeley to lead $10M NSF/Simons Foundation program to investigate theoretical underpinnings …

Combined Features and Kernel Design for Noise Robust …

partment of Statistics∗ at University of California, Berkeley ... @kcl.ac.uk, [email protected]). Finan-cial support from EPSRC under grant EP/D053005/1 is gratefully acknowl-edged. Bin Yu thanks the National Science Foundation for grants NSF SES-0835531 (CDI) and NSFC (60628102). aim to reduce explicitly the effects of noise …

Spectral clustering and the high-dimensional Stochastic …

insights and heuristics: spectral clustering is a convex relaxation of the Normalized Cut optimization problem (Shi and Malik, 2000), it can identify the connected components in …

Combined Features and Kernel Design for Noise Robust …

{peter.sollich,zoran.cvetkovic}@kcl.ac.uk, [email protected]). Finan-cial support from EPSRC under grant EP/D053005/1 is gratefully acknowl-edged. Bin Yu thanks the National Science Foundation for grants NSF SES-0835531 (CDI) and NSFC (60628102). aim to reduce explicitly the effects of noise on spectral

Bin Yu | EECS at UC Berkeley

Biography. Bin Yu is Chancellor's Professor in the Departments of Statistics and of Electrical Engineering & Computer Sciences at the University of California at Berkeley. …

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Detection of Daytime Arctic Clouds using MISR and …

Amongst the 36 spectral radiances available on the Moderate Resolution Imag-ing Spectroradiometer (MODIS) seven of them are used operationally for detection of ... ∗Department of Statistics, The Ohio State University, Columbus, OH 43210-1247. Email: ... University of California, Berkeley, CA 94720-3860. Email: [email protected]

Research

Current research topics of my group cover sparse modeling (e.g. Lasso), structured sparsity (e.g. hierarchical and group and graph path), analysis and methods for spectral clustering for undirected and directed graphs; …

Spectral clustering and the high-dimensional Stochastic …

Spectral clustering and the high-dimensional Stochastic Block Model Karl Rohe, Sourav Chatterjee and Bin Yu Department of Statistics University of California Berkeley, CA 94720, USA e-mail: [email protected] [email protected] [email protected] Abstract: Networks or graphs can easily represent a diverse …

Bin Yu

Biography. Bin Yu is Chancellor's Distinguished Professor and Class of 1936 Second Chair in the Departments of statistics and EECS, and Center for Computational Biology, and …

Bin Yu

Department of Electrical Engineering & Computer Science. University of California, Berkeley. Chan-Zuckerberg Biohub Investigator. mail: 367 Evans Hall #3860 • Berkeley, CA 94720 • phone: 510-642-2021 • fax: …

Information Theory and Statistics

University of California, Berkeley binyu|@|stat.berkeley.edu Office Hours TBA 409 Evans Hall Meeting T/Th 11:00-12:30 330 Evans Hall Grading 30% Class participation and homework assignments 40% Final project and in-class presentation 30% Oral final exam ...

Spectral clustering and the high-dimensional …

Spectral clustering and the high-dimensional Stochastic Block Model Karl Rohe, Sourav Chatterjee and Bin Yu Department of Statistics University of California Berkeley, CA 94720, USA e-mail: [email protected] [email protected] [email protected] Abstract: Networks or graphs can easily represent a diverse …

University of California, Berkeley

University of California, Berkeley

A Hierarchical Bayesian Approach for Aerosol …

1 A Hierarchical Bayesian Approach 2 for Aerosol Retrieval Using MISR Data Yueqing Wang 1;, Xin Jiang 2; y, Bin Yu 1;3, Ming Jiang 2;4 3 1 Department of Statistics, University of California at Berkeley, CA 94720-3860, U.S. 4 2 LMAM, School of Mathematical Sciences, Peking University, Beijing 100871, China. 5 3 Department of …

6976 IEEE TRANSACTIONS ON INFORMATION THEORY, …

Garvesh Raskutti, Martin J. Wainwright, Senior Member, IEEE,and BinYu, Fellow, IEEE Abstract—Consider the high-dimensional linear regression model,where is an observation vector, is a design matrix with, is an unknown regression vector, and is additive Gaussian noise. This paper studies the minimax rates of convergence for esti-

Statistics at UC Berkeley | Department of Statistics

Subject: Image Created Date: 6/20/2008 11:36:43 AM

Microsoft Word

d Department of Statistics, University of California, Berkeley, CA 94720-3860, United States ABSTRACT Detection of clouds in satellite-generated radiance images, including those from MODIS, is an important first step in many applications of these data. In this paper we apply spectral unmixing to this problem with the aim of estimating

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Statistics at UC Berkeley | Department of Statistics

Statistics at UC Berkeley | Department of Statistics

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