Pages that link to "Item:Q651016"

The following pages link to Spectral clustering and the high-dimensional stochastic blockmodel (Q651016):

Displaying 50 items.

• Stochastic block models are a discrete surface tension (Q2022738) (← links)
• Convex relaxation methods for community detection (Q2038282) (← links)
• Minimax rates in network analysis: graphon estimation, community detection and hypothesis testing (Q2038283) (← links)
• Additive and multiplicative effects network models (Q2038284) (← links)
• Robust high-dimensional factor models with applications to statistical machine learning (Q2038305) (← links)
• Network representation using graph root distributions (Q2039784) (← links)
• Subspace estimation from unbalanced and incomplete data matrices: \({\ell_{2,\infty}}\) statistical guarantees (Q2039795) (← links)
• On the estimation of latent distances using graph distances (Q2044319) (← links)
• Convex programming based spectral clustering (Q2051294) (← links)
• Consistent nonparametric estimation for heavy-tailed sparse graphs (Q2054468) (← links)
• Community detection with dependent connectivity (Q2054505) (← links)
• Optimality of spectral clustering in the Gaussian mixture model (Q2054516) (← links)
• Weighted stochastic block model (Q2066716) (← links)
• Learning from missing data with the binary latent block model (Q2066751) (← links)
• Spectral clustering revisited: information hidden in the Fiedler vector (Q2072633) (← links)
• Community detection on mixture multilayer networks via regularized tensor decomposition (Q2073701) (← links)
• A multiscale environment for learning by diffusion (Q2075000) (← links)
• Extended stochastic block models with application to criminal networks (Q2080752) (← links)
• Overlapping community detection in networks via sparse spectral decomposition (Q2121698) (← links)
• Null models and community detection in multi-layer networks (Q2121704) (← links)
• Estimation of the parameters in an expanding dynamic network model (Q2121708) (← links)
• Scalable estimation of epidemic thresholds via node sampling (Q2121712) (← links)
• Community detection for weighted networks with unknown number of communities (Q2121884) (← links)
• Smoothing graphons for modelling exchangeable relational data (Q2127231) (← links)
• Latent structure blockmodels for Bayesian spectral graph clustering (Q2128055) (← links)
• A review on spectral clustering and stochastic block models (Q2132025) (← links)
• Sparse and smooth: improved guarantees for spectral clustering in the dynamic stochastic block model (Q2136643) (← links)
• Asymptotically efficient estimators for stochastic blockmodels: the naive MLE, the rank-constrained MLE, and the spectral estimator (Q2137006) (← links)
• Identifiability and parameter estimation of the overlapped stochastic co-block model (Q2159412) (← links)
• Local law and Tracy-Widom limit for sparse stochastic block models (Q2175009) (← links)
• Spectral and matrix factorization methods for consistent community detection in multi-layer networks (Q2176617) (← links)
• Rate optimal Chernoff bound and application to community detection in the stochastic block models (Q2180063) (← links)
• Spectral clustering-based community detection using graph distance and node attributes (Q2184394) (← links)
• Certifying global optimality of graph cuts via semidefinite relaxation: a performance guarantee for spectral clustering (Q2189394) (← links)
• A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging (Q2194484) (← links)
• Entrywise eigenvector analysis of random matrices with low expected rank (Q2196228) (← links)
• Vertex nomination, consistent estimation, and adversarial modification (Q2199707) (← links)
• Bayesian estimation of the latent dimension and communities in stochastic blockmodels (Q2209705) (← links)
• Consistency and asymptotic normality of stochastic block models estimators from sampled data (Q2209826) (← links)
• A similarity measure for second order properties of non-stationary functional time series with applications to clustering and testing (Q2214256) (← links)
• Identifiability of nonparametric mixture models and Bayes optimal clustering (Q2215737) (← links)
• Theoretical and computational guarantees of mean field variational inference for community detection (Q2215750) (← links)
• Identifying latent group structures in nonlinear panels (Q2224976) (← links)
• Exponential-family models of random graphs: inference in finite, super and infinite population scenarios (Q2225321) (← links)
• Detecting groups in large vector autoregressions (Q2236879) (← links)
• Maximum likelihood estimation of sparse networks with missing observations (Q2242863) (← links)
• Review on statistical methods for gene network reconstruction using expression data (Q2260287) (← links)
• A generalized Lieb's theorem and its applications to spectrum estimates for a sum of random matrices (Q2272497) (← links)
• Network modelling of topological domains using Hi-C data (Q2281198) (← links)
• Nonreconstruction of high-dimensional stochastic block model with bounded degree (Q2288830) (← links)