Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
scientific article - MaRDI portal

scientific article

From MaRDI portal
Publication:3796199

zbMath0651.46021MaRDI QIDQ3796199

Yehoram Gordon

Publication date: 1988


Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.



Related Items

Average-case complexity without the black swansRandomized numerical linear algebra: Foundations and algorithmsA geometrical stability condition for compressed sensingWhen random proportional subspaces are also random quotientsRandom sections of ellipsoids and the power of random informationThe asymptotic distribution of the MLE in high-dimensional logistic models: arbitrary covarianceA precise high-dimensional asymptotic theory for boosting and minimum-\(\ell_1\)-norm interpolated classifiersRecovering Structured Signals in Noise: Least-Squares Meets Compressed SensingCosparsity in Compressed SensingSharp MSE bounds for proximal denoisingLow \(M^*\)-estimates on coordinate subspaces\(L_{p}\)-moments of random vectors via majorizing measuresRecovery analysis for weighted \(\ell_{1}\)-minimization using the null space propertyHigh-dimensional change-point estimation: combining filtering with convex optimizationGeneralized notions of sparsity and restricted isometry property. II: Applications\(\ell^1\)-analysis minimization and generalized (co-)sparsity: when does recovery succeed?Generalizing CoSaMP to signals from a union of low dimensional linear subspacesThe phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regressionSimple bounds for recovering low-complexity modelsGeneric error bounds for the generalized Lasso with sub-exponential dataFast and Reliable Parameter Estimation from Nonlinear ObservationsSharp global convergence guarantees for iterative nonconvex optimization with random dataAutomatic bias correction for testing in high‐dimensional linear modelsRobust analysis ℓ1-recovery from Gaussian measurements and total variation minimizationA unified approach to uniform signal recovery from nonlinear observationsRandom sections of \(\ell_p\)-ellipsoids, optimal recovery and Gelfand numbers of diagonal operatorsEssay on Kashin's remarkable 1977 decomposition theoremSampling rates for \(\ell^1\)-synthesis\( \varepsilon \)-isometric dimension reduction for incompressible subsets of \(\ell_p\)Terracini convexityNoisy linear inverse problems under convex constraints: exact risk asymptotics in high dimensionsUniversality of regularized regression estimators in high dimensionsAnalysis \(\ell_1\)-recovery with frames and Gaussian measurementsA tradeoff between false discovery and true positive proportions for sparse high-dimensional logistic regressionGuarantees of total variation minimization for signal recoveryStable low-rank matrix recovery via null space propertiesLinear regression with sparsely permuted dataEstimates of covering numbersAn Introduction to Compressed SensingToward a unified theory of sparse dimensionality reduction in Euclidean spaceDvoretzky's theorem and the complexity of entanglement detectionUnnamed ItemGaussian averages of interpolated bodies and applications to approximate reconstructionPersistent homology for low-complexity modelsLogarithmic reduction of the level of randomness in some probabilistic geometric constructionsGelfand numbers related to structured sparsity and Besov space embeddings with small mixed smoothnessEstimation in High Dimensions: A Geometric PerspectiveRegular random sections of convex bodies and the random quotient-of-subspace theoremRobust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstructionThe distribution of the Lasso: uniform control over sparse balls and adaptive parameter tuningREGULARIZATION OF NON-NORMAL MATRICES BY GAUSSIAN NOISE—THE BANDED TOEPLITZ AND TWISTED TOEPLITZ CASESExtremal problems and isotropic positions of convex bodiesIsolated calmness of solution mappings and exact recovery conditions for nuclear norm optimization problemsEmpirical processes and random projectionsUnnamed ItemGeometry of the 𝐿_{𝑞}-centroid bodies of an isotropic log-concave measurePrecise statistical analysis of classification accuracies for adversarial trainingUnnamed ItemUnnamed ItemOn the Convergence Rate of Projected Gradient Descent for a Back-Projection Based ObjectiveProof methods for robust low-rank matrix recoveryRobust Width: A Characterization of Uniformly Stable and Robust Compressed Sensing