Yu and her team at Berkeley have developed novel statistical machine learning approaches and are combining their work with the domain expertise of collaborators to solve …
Our analysis focuses on the Stochastic Block Model (SBM) and an extension of this model. Below are the three main contributions of the paper. We attempt to understand …
The performance of spectral clustering can be considerably improved via regularization, as demonstrated empirically in Amini et al. [ Ann. Statist. 41 (2013) 2097–2122].
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 …
Bin Yu. Chancellor's Distinguished Professor for Statistics, Electrical Engineering and Computer Science. Class of 1936 Second Chair. Email: [email protected]. Lab …
Research. Bin Yu. Chancellor's Professor Department of Statistics. Department of Electrical Engineering and Computer Science University of California, Berkeley. I am currently …
In order to study spectral clustering under the Stochastic Block Model, we first show that under the more general latent space model, the eigenvectors of the normalized graph …