Pages that link to "Item:Q2196228"
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The following pages link to Entrywise eigenvector analysis of random matrices with low expected rank (Q2196228):
Displaying 11 items.
- On the smoothed analysis of the smallest singular value with discrete noise (Q6175421) (← links)
- Inference for low-rank models (Q6177325) (← links)
- Entrywise limit theorems for eigenvectors of signal-plus-noise matrix models with weak signals (Q6178566) (← links)
- Special invited paper: the SCORE normalization, especially for heterogeneous network and text data (Q6548783) (← links)
- Inference for heteroskedastic PCA with missing data (Q6550970) (← links)
- Statistical Significance of Clustering with Multidimensional Scaling (Q6552544) (← links)
- Strong consistency guarantees for clustering high-dimensional bipartite graphs with the spectral method (Q6595781) (← links)
- Rejoinder: “Co-citation and Co-authorship Networks of Statisticians” (Q6620879) (← links)
- Clustering High-Dimensional Noisy Categorical Data (Q6651408) (← links)
- Leave-one-out singular subspace perturbation analysis for spectral clustering (Q6656609) (← links)
- Exact minimax optimality of spectral methods in phase synchronization and orthogonal group synchronization (Q6656613) (← links)
