Pages that link to "Item:Q743056"

The following pages link to Hanson-Wright inequality and sub-Gaussian concentration (Q743056):

Displaying 50 items.

• Implicit regularization in nonconvex statistical estimation: gradient descent converges linearly for phase retrieval, matrix completion, and blind deconvolution (Q2189396) (← links)
• Consistent Bayesian sparsity selection for high-dimensional Gaussian DAG models with multiplicative and beta-mixture priors (Q2196119) (← links)
• Lasso guarantees for \(\beta \)-mixing heavy-tailed time series (Q2196212) (← links)
• Concentration inequalities for random tensors (Q2203634) (← links)
• Hanson-Wright inequality in Hilbert spaces with application to \(K\)-means clustering for non-Euclidean data (Q2214261) (← links)
• Model selection for high-dimensional linear regression with dependent observations (Q2215720) (← links)
• Bounds on tail probabilities for quadratic forms in dependent sub-Gaussian random variables (Q2216970) (← links)
• Complex phase retrieval from subgaussian measurements (Q2226993) (← links)
• Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions: continuous dynamics (Q2240875) (← links)
• A note on moment inequality for quadratic forms (Q2251689) (← links)
• The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square (Q2273603) (← links)
• Subspace perspective on canonical correlation analysis: dimension reduction and minimax rates (Q2278668) (← links)
• On the volume of non-central sections of a cube (Q2281341) (← links)
• Testing for high-dimensional network parameters in auto-regressive models (Q2283570) (← links)
• On the tightness of Gaussian concentration for convex functions (Q2299478) (← links)
• Partial recovery bounds for clustering with the relaxed \(K\)-means (Q2319817) (← links)
• Norms of sub-exponential random vectors (Q2322658) (← links)
• On the asymptotic variance of the debiased Lasso (Q2326043) (← links)
• Comparison and anti-concentration bounds for maxima of Gaussian random vectors (Q2349143) (← links)
• Concentration of distances in Wigner matrices (Q2412693) (← links)
• Sparse Hanson-Wright inequalities for subgaussian quadratic forms (Q2419651) (← links)
• Efficient, certifiably optimal clustering with applications to latent variable graphical models (Q2425167) (← links)
• Multichannel deconvolution with long-range dependence: a minimax study (Q2437859) (← links)
• Limiting spectral distribution of renormalized separable sample covariance matrices when \(p/n\to 0\) (Q2438628) (← links)
• The sub-Gaussian constant and concentration inequalities (Q2472751) (← links)
• Convergence of covariance and spectral density estimates for high-dimensional locally stationary processes (Q2656594) (← links)
• Circular law for sparse random regular digraphs (Q2659439) (← links)
• Fermionic eigenvector moment flow (Q2663401) (← links)
• Noise-Shaping Quantization Methods for Frame-Based and Compressive Sampling Systems (Q2799920) (← links)
• Concentration Inequalities for Statistical Inference (Q3380883) (← links)
• Lifting for Blind Deconvolution in Random Mask Imaging: Identifiability and Convex Relaxation (Q3454489) (← links)
• Random weighted projections, random quadratic forms and random eigenvectors (Q3460520) (← links)
• Quantization and Compressive Sensing (Q3460834) (← links)
• Resonances for random highly oscillatory potentials (Q4556605) (← links)
• (Q4558138) (← links)
• (Q4558470) (← links)
• Laplace deconvolution with dependent errors: a minimax study (Q4559467) (← links)
• Super-resolution radar (Q4603731) (← links)
• Sparse general Wigner-type matrices: Local law and eigenvector delocalization (Q4628748) (← links)
• (Q4633051) (← links)
• (Q4637041) (← links)
• Modified log-Sobolev inequalities and two-level concentration (Q4989420) (← links)
• Polynomial Threshold Functions, Hyperplane Arrangements, and Random Tensors (Q5025767) (← links)
• A Theoretical Perspective on Hyperdimensional Computing (Q5026180) (← links)
• (Q5053228) (← links)
• On the proliferation of support vectors in high dimensions* (Q5055426) (← links)
• A machine learning approach to optimal Tikhonov regularization I: Affine manifolds (Q5077184) (← links)
• Spectral-norm risk rates for multi-taper estimation of Gaussian processes (Q5078831) (← links)
• On the asymptotic behavior of the eigenvalue distribution of block correlation matrices of high-dimensional time series (Q5092958) (← links)
• Estimation in nonparametric regression model with additive and multiplicative noise via Laguerre series (Q5104522) (← links)