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Misspecified nonconvex statistical optimization for sparse phase retrieval (Q2425184)

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Language	Label	Description	Also known as
English	Misspecified nonconvex statistical optimization for sparse phase retrieval	scientific article

Statements

scholarly article

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Misspecified nonconvex statistical optimization for sparse phase retrieval (English)

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Mathematical Programming. Series A. Series B

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publication date

26 June 2019

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full work available at URL

https://arxiv.org/abs/1712.06245

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describes a project that uses

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MaRDI profile type

MaRDI publication profile

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Sparse single-index model

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Proximal alternating linearized minimization for nonconvex and nonsmooth problems

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Statistics for high-dimensional data. Methods, theory and applications.

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Optimal rates of convergence for noisy sparse phase retrieval via thresholded Wirtinger flow

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Phase Retrieval via Matrix Completion

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Phase Retrieval via Wirtinger Flow: Theory and Algorithms

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PhaseLift: Exact and Stable Signal Recovery from Magnitude Measurements via Convex Programming

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Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems

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Sufficient Dimension Reduction via Inverse Regression

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A mathematical introduction to compressive sensing

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High-Dimensional Estimation of Structured Signals From Non-Linear Observations With General Convex Loss Functions

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Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming

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Accelerated gradient methods for nonconvex nonlinear and stochastic programming

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Structured Signal Recovery From Non-Linear and Heavy-Tailed Measurements

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Convergence rate bounds for a proximal ADMM with over-relaxation stepsize parameter for solving nonconvex linearly constrained problems

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Non-parametric analysis of a generalized regression model. The maximum rank correlation estimator

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Convergence Analysis of Alternating Direction Method of Multipliers for a Family of Nonconvex Problems

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Semiparametric and nonparametric methods in econometrics

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Variable selection for general index models via sliced inverse regression

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On Consistency and Sparsity for Principal Components Analysis in High Dimensions

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A Lagrangian-DNN relaxation: a fast method for computing tight lower bounds for a class of quadratic optimization problems

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Sliced Inverse Regression for Dimension Reduction

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On Principal Hessian Directions for Data Visualization and Dimension Reduction: Another Application of Stein's Lemma

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Regression analysis under link violation

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On consistency and sparsity for sliced inverse regression in high dimensions

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Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima

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On the complexity analysis of randomized block-coordinate descent methods

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Phase Retrieval Using Alternating Minimization

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Semidefinite programming relaxations for semialgebraic problems

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The Generalized Lasso With Non-Linear Observations

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High-dimensional estimation with geometric constraints: Table 1.

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High dimensional single index models

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Estimation of the mean of a multivariate normal distribution

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A geometric analysis of phase retrieval

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Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated Rayleigh Flow

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Phase Retrieval With Random Gaussian Sensing Vectors by Alternating Projections

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Phase recovery, MaxCut and complex semidefinite programming

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Optimal computational and statistical rates of convergence for sparse nonconvex learning problems

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Sparse-BSOS: a bounded degree SOS hierarchy for large scale polynomial optimization with sparsity

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A globally convergent algorithm for nonconvex optimization based on block coordinate update

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Pathwise coordinate optimization for sparse learning: algorithm and theory

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On Sliced Inverse Regression With High-Dimensional Covariates

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Identifiers

zbMATH Open document ID

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10.1007/s10107-019-01364-5

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Mathematics Subject Classification ID

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zbMATH DE Number

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Sitelinks

Mathematics(1 entry)

mardi Publication:2425184

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