Pages that link to "Item:Q847627"

The following pages link to The spectrum of kernel random matrices (Q847627):

Displaying 48 items.

• Kernel spectral clustering of large dimensional data (Q302428) (← links)
• On information plus noise kernel random matrices (Q605943) (← links)
• Communication-efficient distributed estimator for generalized linear models with a diverging number of covariates (Q830480) (← links)
• On spectral distribution of kernel matrices related to radial basis functions (Q907577) (← links)
• Matrix kernels for measures on partitions (Q1012675) (← links)
• Concentration of measure and spectra of random matrices: applications to correlation matrices, elliptical distributions and beyond (Q1049567) (← links)
• A random matrix approach to neural networks (Q1650102) (← links)
• The smallest eigenvalues of random kernel matrices: asymptotic results on the min kernel (Q1726910) (← links)
• The spectral norm of random inner-product kernel matrices (Q1729691) (← links)
• On Rayleigh-type formulas for a non-local boundary value problem associated with an integral operator commuting with the Laplacian (Q1748253) (← links)
• Linearized two-layers neural networks in high dimension (Q2039801) (← links)
• Learning via variably scaled kernels (Q2045087) (← links)
• Eigenvalue distribution of some nonlinear models of random matrices (Q2076620) (← links)
• Surprises in high-dimensional ridgeless least squares interpolation (Q2131262) (← links)
• On the spectrum of dense random geometric graphs (Q2170358) (← links)
• Just interpolate: kernel ``ridgeless'' regression can generalize (Q2196223) (← links)
• Perturbation of the eigenvectors of the graph Laplacian: application to image denoising (Q2252214) (← links)
• Random discretization of the finite Fourier transform and related kernel random matrices (Q2310829) (← links)
• Spectral distribution of large generalized random kernel matrices (Q2322653) (← links)
• A note on the Pennington-Worah distribution (Q2332995) (← links)
• Distributions of eigenvalues of large Euclidean matrices generated from \(l_p\) balls and spheres (Q2341877) (← links)
• A note on the large random inner-product kernel matrices (Q2344887) (← links)
• Random matrix theory in statistics: a review (Q2453609) (← links)
• Concentration of kernel matrices with application to kernel spectral clustering (Q2656607) (← links)
• Covariance discriminative power of kernel clustering methods (Q2683191) (← links)
• The spectrum of random kernel matrices: universality results for rough and varying kernels (Q2853395) (← links)
• Eigen-analysis of nonlinear PCA with polynomial kernels (Q2870762) (← links)
• The spectrum of random inner-product kernel matrices (Q2871282) (← links)
• Graph connection Laplacian and random matrices with random blocks (Q4603693) (← links)
• On the Numerical Rank of Radial Basis Function Kernels in High Dimensions (Q4644416) (← links)
• Feature augmentation for the inversion of the Fourier transform with limited data (Q4957752) (← links)
• (Q4969035) (← links)
• The conjugate gradient algorithm on a general class of spiked covariance matrices (Q5022481) (← links)
• Learning curves of generic features maps for realistic datasets with a teacher-student model* (Q5055409) (← links)
• Spectrum of large random inner-product kernel matrices generated from <i>l_p</i> ellipsoids (Q5077978) (← links)
• Spectrum of large euclidean random matrices generated from <i>l</i>_<i>p</i> ellipsoids (Q5078226) (← links)
• Spectral Properties of Kernel Matrices in the Flat Limit (Q5150830) (← links)
• Nonlinear random matrix theory for deep learning (Q5854102) (← links)
• For interpolating kernel machines, minimizing the norm of the ERM solution maximizes stability (Q5873932) (← links)
• Deep learning: a statistical viewpoint (Q5887827) (← links)
• On the normalized Laplacian spectra of random geometric graphs (Q6042058) (← links)
• Conditional predictive inference for stable algorithms (Q6042347) (← links)
• Krylov complexity and spectral form factor for noisy random matrix models (Q6083855) (← links)
• On the limiting spectral distributions of stochastic block models (Q6137757) (← links)
• Learning low-dimensional nonlinear structures from high-dimensional noisy data: an integral operator approach (Q6183757) (← links)
• Limiting spectral distribution of stochastic block model (Q6192466) (← links)
• Bayesian reconstruction of Cartesian product graph signals with general patterns of missing data (Q6554270) (← links)
• Fluctuations, bias, variance and ensemble of learners: exact asymptotics for convex losses in high-dimension (Q6611433) (← links)