
Adjusted chisquare test for degreecorrected block models
We propose a goodnessoffit test for degreecorrected stochastic block ...
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Concentration of kernel matrices with application to kernel spectral clustering
We study the concentration of random kernel matrices around their mean. ...
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On perfectness in Gaussian graphical models
Knowing when a graphical model is perfect to a distribution is essential...
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Spectrallytruncated kernel ridge regression and its free lunch
Kernel ridge regression (KRR) is a wellknown and popular nonparametric ...
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Approximate Identification of the Optimal Epidemic Source in Complex Networks
We consider the problem of identifying the source of an epidemic, spread...
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Optimizing regularized Cholesky score for orderbased learning of Bayesian networks
Bayesian networks are a class of popular graphical models that encode ca...
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Hierarchical Stochastic Block Model for Community Detection in Multiplex Networks
Multiplex networks have become increasingly more prevalent in many field...
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On the support recovery of marginal regression
Leading methods for support recovery in highdimensional regression, suc...
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Exact slice sampler for Hierarchical Dirichlet Processes
We propose an exact slice sampler for Hierarchical Dirichlet process (HD...
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HighDimensional Bernoulli Autoregressive Process with LongRange Dependence
We consider the problem of estimating the parameters of a multivariate B...
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Optimal Bipartite Network Clustering
We consider the problem of bipartite community detection in networks, or...
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Analysis of spectral clustering algorithms for community detection: the general bipartite setting
We consider the analysis of spectral clustering algorithms for community...
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Partial correlation graphs and the neighborhood lattice
We define and study partial correlation graphs (PCGs) with variables in ...
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Matched bipartite block model with covariates
Community detection or clustering is a fundamental task in the analysis ...
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Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression
We study a family of regularized scorebased estimators for learning the...
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On semidefinite relaxations for the block model
The stochastic block model (SBM) is a popular tool for community detecti...
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Pseudolikelihood methods for community detection in large sparse networks
Many algorithms have been proposed for fitting network models with commu...
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Sampled forms of functional PCA in reproducing kernel Hilbert spaces
We consider the sampling problem for functional PCA (fPCA), where the si...
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Approximation properties of certain operatorinduced norms on Hilbert spaces
We consider a class of operatorinduced norms, acting as finitedimensio...
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Arash A. Amini
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