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 described in my article Veridical Data Science, written together with my former student Karl Kumbier. In this work, I introduced a framework based on three principles ...

Spectral clustering and the high-dimensional Stochastic …

[email protected] Abstract: Networks or graphs can easily represent a diverse set of data sources that are characterized by interacting units or actors. Social networks, representing people ... Spectral clustering is a popular and computationally feasible method to discover these communities. The Stochastic Block Model (Holland et al ...

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Data Spectroscopy: Learning Mixture Models using …

Tao Shi [email protected] Department of Statistics, Ohio State University Mikhail Belkin [email protected] Department of Computer Science and Engineering, Ohio State University Bin Yu [email protected] Department of Statistics, University of California Berkeley Abstract In this paper we develop a spectral frame-

Statistics at UC Berkeley | Department of Statistics

Statistics at UC Berkeley | Department of Statistics

Bin Yu

I'm Bin Yu, the head of the Yu Group at Berkeley, which consists of 15-20 students and postdocs from statistics and EECS. I was formally trained as a statistician, but my research interests and achievements extend beyond …

Biography

Positions Held. Assistant Professor of Statistics, University of Wisconsin at Madison, 1990-1993. Postdoctoral Fellow, Mathematical Science Research Institute at Berkeley Fall 1991. Visiting Assistant Professor of Statistics, Yale University, Spring 1993. Assistant Professor of Statistics, UC Berkeley, 1993-1997.

Bin Yu | Department of Statistics

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

Embracing Statistical Challenges in the Information …

machine learning, a frontier in the field of statistics driven by computation, a key consideration in cyberinfrastructure. Text processing and sensor networks are the focus of Section 4. The discussions give a glimpse of new opportunities brought by IT. Section 5 provides personal views on where exciting statistics research is likely to occur ...

Impact of regularization on spectral clustering

1768 A. JOSEPH AND B. YU Algorithm 1 The RSC-τ Algorithm [2] Input: Laplacian matrix Lτ. Step 1: Compute the n×K eigenvector matrix Vτ. Step 2: Use the K-means algorithm to cluster the rows of Vτ into K clusters. Regularization is introduced in the following way: Let J be a constant matrix with all entries equal to 1/n.Then, in regularized spectral clustering …

Detection of Daytime Arctic Clouds using MISR and …

the spectral channels necessary for global cloud detection. Amongst the 36 spectral channels available on the MODIS sensor seven of them were chosen for detection of clouds in daytime polar regions (Ackerman et al., 1998). To illustrate the information content within the seven spectral radiances of MODIS used

High-dimensionalcovariance estimation by minimizing

The area of high-dimensional statistics deals with estimation in the "large p, small n" setting, where p and n corre-spond, respectively, to the dimensionality of the data and the sample size. Such high-dimensionalproblems arise in a variety of applications, among them remote sensing, computational biology and natural language processing, where

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 serves as a senior advisor at the Simons Institute for the Theory of Computing, all at UC Berkeley. She obtained her BS Degree in Mathematics from Peking University, and MS ...

Bin Yu

B. Yu and K. Kumbier (2020) Veridical data science (PCS framework), PNAS. 117 (8), 3920-3929. QnAs with Bin Yu. Siqi Wu, Antony Joseph, Ann S. Hammonds, Susan E. Celniker, Bin Yu*, and Erwin Frise* (2016). Stability-driven nonnegative matrix factorization to interpret spatial gene expression and build local gene networks (with …

Group Member: Peng Zhao

May-June 1990, Postdoctoral Fellow, University of California, Berkeley, Statistics Department. Professional Affiliations: Fellow, IEEE; Fellow, IMS; Member of ASA. Editorial Services: Associate Editor for Annals of Statistics (1998--2000, 2001-2003) Associate Editor for Statistica Sinica (1996--1998, 1999-2001)

Bin Yu | Department of Statistics

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University of California, Berkeley

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Spectral clustering and the high-dimensional Stochastic …

Spectral clustering is a popular and computationally feasible method to discover these communities. The Stochastic Block Model (Holland et al., 1983) is a social network …

Bin Yu | CDSS at UC Berkeley

Yu is an investigator with the Chan-Zuckerberg Biohub and the Weill Neurohub. She is also a member of the American Academy of Arts and Sciences. Over the past 30 years, UC Berkeley statistics Professor Bin Yu has covered a lot of territory, both in her research field and in sharing her knowledge with others. And now she has used it to create a ...

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Embracing Statistical Challenges in the Information …

telephone numbers, are just few examples of searches on Google. Web search is the hottest topic in IR, but its scale is gigantic and desires a huge amount of computation. First, the target of web search is moving: the content of a website is changing within a week for 30% or 40% of the websites (Fetterly et al, 2004 [15]).

Bin Yu | Research UC Berkeley

Research Expertise and Interest. machine learning, trustworthy data science and AI, interdisciplinary research in biomedicine, neuroscience, and climate science.. Research Description. Bin Yu is the Class of 1936 Second Chair in the College of Letters and Science and a Chancellor's distinguished professor in the Department of Statistics, EECS and …

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

Spectral clustering and the high-dimensional stochastic …

This paper studies the performance of spectral clustering, a nonparametric method, on a parametric task of estimating the blocks in the Stochastic Block-model. It connects the first strain of clustering research based on stochastic mod-els to the second strain based on heuristics and insights on network clusters.

Bin Yu

Bin Yu. Chancellor's Distinguished Professor for Statistics, Electrical Engineering and Computer Science. Class of 1936 Second Chair. Email: [email protected]. Lab …

Bin Yu

Welcome. I'm Bin Yu, the head of the Yu Group at Berkeley, which consists of 15-20 students and postdocs from statistics and EECS. I was formally trained as a statistician, but my research interests and achievements extend beyond the realm of statistics. Together with my group, my work has leveraged new computational developments to …

Veridical data science INAUGURAL ARTICLE

Veridical data science. Bin Yua,b,c,d,1 and Karl Kumbiera. ems Biology Division, Berkeley, CA 94720This contribution is part of the special series of Inaugural Articles by members of the Nati. Liu, David Madigan, and Larry Wasserman)Building and expanding on principles of statistics, machine learn-ing, and scientific inquiry, we propose the ...

Bin Yu

I'm Bin Yu, the head of the Yu Group at Berkeley, which consists of 12-15 students and postdocs from Statistics and EECS. I was formally trained as a statistician, but my …

University of California, Berkeley

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jasa_resub.dvi

Tao Shi is Assistant Professor, Department of Statistics, the Ohio State University, Columbus, OH 43210 (Email: [email protected]). Bin Yu is Professor, Department of Statistics, University of California, Berkeley, CA 94720 (Email: [email protected]). Eugene Clothiaux is Associate Professor, Department of …

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