Spectral norm bounds for block Markov chain random matrices
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Publication:2689895
DOI10.1016/j.spa.2022.12.004OpenAlexW3213776343MaRDI QIDQ2689895
Albert Senen-Cerda, Jaron Sanders
Publication date: 14 March 2023
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2111.06201
regularizationrandom matricesasymptotic analysisspectral normssparse random graphsblock Markov chains
Random matrices (probabilistic aspects) (60B20) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10)
Cites Work
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- Consistency thresholds for the planted bisection model
- Semicircle law for a matrix ensemble with dependent entries
- Reconstruction and estimation in the planted partition model
- Spectrum of large random reversible Markov chains: heavy-tailed weights on the complete graph
- On the distribution of the roots of certain symmetric matrices
- Semicircle law for generalized Curie-Weiss matrix ensembles at subcritical temperature
- Clustering in block Markov chains
- Consistency of spectral clustering in stochastic block models
- Largest eigenvalues of sparse inhomogeneous Erdős-Rényi graphs
- Circular law theorem for random Markov matrices
- Concentration inequalities for Markov chains by Marton couplings and spectral methods
- Spectrum of large random reversible Markov chains: two examples
- Achieving Exact Cluster Recovery Threshold via Semidefinite Programming
- Exact Recovery in the Stochastic Block Model
- Signaling With Imperfect Channel State Information: A Battery Power Efficiency Comparison
- Sixty years of moments for random matrices
- The Largest Eigenvalue of Sparse Random Graphs
- Optimal High-Order Tensor SVD via Tensor-Train Orthogonal Iteration
- CONCENTRATION OF RANDOM GRAPHS AND APPLICATION TO COMMUNITY DETECTION
- Spectral State Compression of Markov Processes
- Community detection thresholds and the weak Ramanujan property
- Matrix Completion From a Few Entries
- Spectral techniques applied to sparse random graphs
- Achieving Optimal Misclassification Proportion in Stochastic Block Model
- Concentration and regularization of random graphs
- An Introduction to Matrix Concentration Inequalities
- DISTRIBUTION OF EIGENVALUES FOR SOME SETS OF RANDOM MATRICES
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