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Found 3 papers, 1 papers with code
Concentration of kernel matrices with application to kernel spectral clustering
We derive nonasymptotic exponential concentration inequalities for Lipschitz kernels assuming that the data points are independent draws from a class of multivariate distributions on $\mathbb R^d$, including the strongly log-concave distributions under affine transformations.
Exact slice sampler for Hierarchical Dirichlet Processes
We propose an exact slice sampler for Hierarchical Dirichlet process (HDP) and its associated mixture models (Teh et al., 2006).
Matched bipartite block model with covariates
Community detection or clustering is a fundamental task in the analysis of network data.
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