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When the linear measurements of an instance of low-rank matrix recovery satisfy a restricted isometry property (RIP)---i.e. they are approximately norm-preserving---the problem is known to contain no spurious local minima, so exact recovery…

机器学习 · 计算机科学 2018-11-01 Richard Y. Zhang , Cédric Josz , Somayeh Sojoudi , Javad Lavaei

For any finite point set in $D$-dimensional space equipped with the 1-norm, we present random linear embeddings to $k$-dimensional space, with a new metric, having the following properties. For any pair of points from the point set that are…

概率论 · 数学 2020-11-09 Michael P. Casey

This paper deals with the computational complexity of conditions which guarantee that the NP-hard problem of finding the sparsest solution to an underdetermined linear system can be solved by efficient algorithms. In the literature, several…

最优化与控制 · 数学 2013-11-05 Andreas M. Tillmann , Marc E. Pfetsch

The restricted isometry property (RIP) is a well-known condition that guarantees the absence of spurious local minima in low-rank matrix recovery problems with linear measurements. In this paper, we introduce a novel property named bound…

最优化与控制 · 数学 2020-12-14 Yingjie Bi , Javad Lavaei

The expicit restricted isometry property (RIP) measurement matrices are needed in practical application of compressed sensing in signal processing. RIP matrices from Reed-Solomon codes, BCH codes, orthogonal codes, expander graphs have been…

信息论 · 计算机科学 2015-06-15 Liqing Xu , Hao Chen

A key technique of machine learning and computer vision is to embed discrete weighted graphs into continuous spaces for further downstream processing. Embedding discrete hierarchical structures in hyperbolic geometry has proven very…

机器学习 · 计算机科学 2023-08-17 Frank Nielsen , Ke Sun

We prove weak convergence in a separable Hilbert space for estimators of high-dimensional regression coefficients, which yields asymptotic normality and enables direct use of standard asymptotic tools such as the continuous mapping theorem.…

统计理论 · 数学 2026-05-05 Kou Fujimori , Koji Tsukuda

Restricted Isometry Property (RIP) is of fundamental importance in the theory of compressed sensing and forms the base of many exact and robust recovery guarantees in this field. A quantitative description of RIP involves bounding the…

信息论 · 计算机科学 2020-07-15 Gen Li , Xingyu Xu , Yuantao Gu

A matrix $A$ is said to have the $\ell_p$-Restricted Isometry Property ($\ell_p$-RIP) if for all vectors $x$ of up to some sparsity $k$, $\|{Ax}\|_p$ is roughly proportional to $\|{x}\|_p$. We study this property for $m \times n$ matrices…

计算复杂性 · 计算机科学 2023-05-09 Venkatesan Guruswami , Peter Manohar , Jonathan Mosheiff

Let $\mathcal H$ be a complex Hilbert space and $\mathcal F_s (\mathcal H)$ the real vector space of all self-adjoint finite rank bounded operators on $\mathcal H$. We generalize the famous Wigner's theorem by characterizing linear maps on…

泛函分析 · 数学 2026-04-17 Lucijan Plevnik

Determining whether two STRIPS planning instances are isomorphic is the simplest form of comparison between planning instances. It is also a particular case of the problem concerned with finding an isomorphism between a planning instance…

人工智能 · 计算机科学 2024-06-25 Arnaud Lequen , Martin C. Cooper , Frédéric Maris

Matrices $\Phi\in\R^{n\times p}$ satisfying the Restricted Isometry Property (RIP) are an important ingredient of the compressive sensing methods. While it is known that random matrices satisfy the RIP with high probability even for…

概率论 · 数学 2018-11-19 David Gamarnik

The problem of computing minimally sparse solutions of under-determined linear systems is $NP$ hard in general. Subsets with extra properties, may allow efficient algorithms, most notably problems with the restricted isometry property (RIP)…

机器学习 · 计算机科学 2023-02-07 G. Welper

In this paper, we address the question of information preservation in ill-posed, non-linear inverse problems, assuming that the measured data is close to a low-dimensional model set. We provide necessary and sufficient conditions for the…

信息论 · 计算机科学 2018-12-05 Nicolas Keriven , Rémi Gribonval

We present an embedding of stochastic optimal control problems, of the so called path integral form, into reproducing kernel Hilbert spaces. Using consistent, sample based estimates of the embedding leads to a model free, non-parametric…

机器学习 · 计算机科学 2012-08-14 Konrad Rawlik , Marc Toussaint , Sethu Vijayakumar

This paper considers compressed sensing matrices and neighborliness of a centrally symmetric convex polytope generated by vectors $\pm X_1,...,\pm X_N\in\R^n$, ($N\ge n$). We introduce a class of random sampling matrices and show that they…

We announce a generalization of Zimmer's cocycle superrigidity theorem proven using harmonic map techniques. This allows us to generalize many results concerning higher rank lattices to all lattices in semisimple groups with property $(T)$.…

微分几何 · 数学 2007-05-23 David Fisher , Theron Hitchman

We investigate harmonic maps in the context of isometric embeddings when the target space is Ricci-flat and has codimension one. With the help of the Campbell-Magaard theorem we show that any $n$-dimensional ($n\geqslant 3$) Lorentzian…

广义相对论与量子宇宙学 · 物理学 2015-06-25 S. Chervon , F. Dahia , C. Romero

Consider a rational map from a projective space to a product of projective spaces, induced by a collection of linear projections. Motivated by the the theory of limit linear series and Abel-Jacobi maps, we study the basic properties of the…

代数几何 · 数学 2013-11-01 Binglin Li

This paper is concerned with the question of reconstructing a vector in a finite-dimensional real or complex Hilbert space when only the magnitudes of the coefficients of the vector under a redundant linear map are known. We present new…

泛函分析 · 数学 2012-07-06 Radu Balan