We consider the problem of sequential multiple hypothesis testing with
n...
We present a new non-negative matrix factorization model for (0,1)
bound...
Hierarchical clustering is a critical task in numerous domains. Many
app...
Hierarchical clustering is a fundamental task often used to discover
mea...
We present a global optimization approach for solving the classical maxi...
Variational inference methods for latent variable statistical models hav...
Mixed membership factorization is a popular approach for analyzing data ...
The detection of rare variants is important for understanding the geneti...