JQDN

General

Information And Inference: A Journal Of The Ima

Di: Stella

Information and Inference-A Journal of the Ima SCIE 影响因子与历年 IF

Superresolution without separation | Information and Inference: A ...

Abstract. Semi-supervised (SS) inference has received much attention in recent years. Apart from a moderate-sized labeled data, $\\mathcal L$, the SS settin Xuemei Chen Information and Inference: A Journal of the IMA, Volume 13, Issue 1, March 2024, iaad050, https://doi.org/10.1093/imaiai/iaad050 Published: 27 December 2023

Abstract In this paper, we derive results about the limiting distribution of the empirical magnetization vector and the maximum likelihood (ML) estimates of the natural

Information and Inference A Journal of the IMA

Oxford University Press is a department of the University of Oxford. It furthers the University’s objective of excellence in research, scholarship, and education by publishing worldwide

Information and Inference: A Journal of the IMA 我导师和另一个合作者都说这期刊现在算是仅次于top4，我表示以前完全没听过，好像是近些年才创建的 Journal of Econometrics 经济学的top

An official journal of the Institute of Mathematics and its Applications. Publishes high quality mathematically-oriented articles, furthering the understanding of the theory, methods of Networks GSN Abstract This paper aims to study the performance of the amplitude-based model x ^ ∈ argmin x ∈ C d ∑ j = 1 m (| a j, x | b j) 2 ⁠, where b j:= | a j, x 0 | + η j and x 0 ∈ C d is a

Abstract Real-world data often exhibit low-dimensional geometric structures and can be viewed as samples near a low-dimensional manifold. This paper studies nonparametric

Information and Inference: a Journal of the IMA

《Information And Inference-a Journal Of The Ima》杂志的影响因子是1.4 ，在MATHEMATICS, APPLIED（应用数学）领域具有较高的学术影响力。《Information And Inference-a Journal This question is the limiting distribution of the for testing whether you are a human visitor and to prevent automated spam submission. What code is in the image? Your support ID is: 8203162018299062768.

About the Journal Information and Inference: a Journal of the IMA aims to publish high quality mathematically-oriented articles, furthering the understanding of the theory, methods of analysis, and algorithms for information and data. Articles Abstract Semi-supervised (SS) inference has received much attention in recent years. Apart from a moderate-sized labeled data, L ⁠, the SS setting is characterized by an Alternatively, an inference scheme focuses on the extremes: the maximal and minimal values of the desired parameters. In this work we introduce a new inference scheme

Abstract We study the sample complexity of learning neural networks by providing new bounds on their Rademacher complexity, assuming norm constraints on the parameter Abstract The graph isomorphism problem looks deceptively simple, but although polynomial-time GSN Abstract We algorithms exist for certain types of graphs such as planar graphs and graphs Editors Robert Calderbank Department of Electrical and Computer Engineering, Duke University, US David L. Donoho Department of Statistics, Stanford University

《Information And Inference-a Journal Of The Ima》在JCR最新升级版分区表中为：Q2。《Information And Inference-a Journal Of The Ima》是一本专注于MATHEMATICS, Abstract Sparsity-based models and techniques have been exploited in many signal processing and imaging applications. the understanding of the Data-driven methods based on dictionary and Abstract We consider the problem of distribution-free predictive inference, with the goal of producing predictive coverage guarantees that hold conditionally rather than marginally.

Abstract A fundamental question in data analysis, machine learning and signal processing is how to compare between data points. The choice of the distance metric is Abstract In this paper, we develop a theory of matrix completion for the extreme case of noisy 1-bit observations. Instead of observing a subset of the real-valued entries of a

Abstract In diffraction imaging, one is tasked with reconstructing a signal from its power Inference a Journal Of spectrum. To resolve the ambiguity in this inverse problem, one might invoke prior

Abstract Approximate message passing (AMP) algorithms have become an important element of high-dimensional statistical inference, mostly due to their adaptability and Information and Inference: A Journal of the IMA, Volume 4, Issue 3, September 2015, Pages 195–229, https://doi.org/10.1093/imaiai/iav004 Published: 12 May 2015 Article

Abstract Algorithmic stability is a concept from learning theory that expresses the degree to which changes to the input data (e.g. removal of a single data point) may affect the

Abstract Algorithmic stability is a concept from learning theory that expresses the degree to which changes to the input data (e.g. removal of a single data point) may affect the Abstract We present a new algorithm for spectral clustering based on a column-pivoted QR factorization that may be directly used for cluster assignment or to provide an initial

Abstract. We propose the total variation penalized sparse additive support vector machine (TVSAM) for performing classification in the high-dimensional set Abstract Information And Inference a Journal We introduce a lifted ℓ 1 (LL1) regularization framework for the recovery of sparse signals. The proposed LL1 regularization is a generalization of several popular

We introduce a novel training principle for probabilistic models that is an alternative to maximum likelihood. The proposed Generative Stochastic Networks (GSN) Abstract stability is a We obtain concentration and large deviation for the sums of independent and identically distributed random variables with heavy-tailed distributions. Our concentration

An official journal of the Institute of Mathematics and its Applications. Publishes high quality mathematically-oriented articles, furthering the understanding of the theory, methods of Abstract We consider linear systems A x = b where A ∈ R m × n consists of normalized rows, ‖ a i ‖ ℓ 2 = 1 ⁠, and where up to β m entries of b have been corrupted