
Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation
A graph generative model defines a distribution over graphs. One type of...
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Central Limit Theorems for High Dimensional Dependent Data
Motivated by statistical inference problems in highdimensional time ser...
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GAN Ensemble for Anomaly Detection
When formulated as an unsupervised learning problem, anomaly detection o...
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Maximum likelihood estimation of potential energy in interacting particle systems from singletrajectory data
This paper concerns the parameter estimation problem for the quadratic p...
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Scenario analysis of nonpharmaceutical interventions on global COVID19 transmissions
This paper introduces a dynamic panel SIR (DPSIR) model to investigate ...
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Stratified incomplete local simplex tests for curvature of nonparametric multiple regression
Principled nonparametric tests for regression curvature in R^d are often...
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A note on Stein equation for weighted sums of independent χ^2 distributions
This note provides the Stein equation for weighted sums of independent χ...
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Robust Mestimation for Partially Observed Functional Data
Irregular functional data in which densely sampled curves are observed o...
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Cutoff for exact recovery of Gaussian mixture models
We determine the cutoff value on separation of cluster centers for exact...
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Estimation of dynamic networks for highdimensional nonstationary time series
This paper is concerned with the estimation of timevarying networks for...
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An EndtoEnd Block Autoencoder For Physical Layer Based On Neural Networks
Deep Learning has been widely applied in the area of image processing an...
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A robust bootstrap change point test for highdimensional location parameter
We consider the problem of change point detection for highdimensional d...
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Diffusion Kmeans clustering on manifolds: provable exact recovery via semidefinite relaxations
We introduce the diffusion Kmeans clustering method on Riemannian subm...
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Approximating highdimensional infiniteorder Ustatistics: statistical and computational guarantees
We study the problem of distributional approximations to highdimensiona...
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HansonWright inequality in Hilbert spaces with application to Kmeans clustering for nonEuclidean data
We derive a dimensionalfree HansonWright inequality for quadratic form...
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TCP Decoupling for Next Generation Communication System
In traditional networks, interfaces of network nodes are duplex. But, em...
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Rate Loss of Hybrid Beamforming with Imperfect Phase Shifters in Millimeter Wave Systems
In millimeter massive MIMO systems, hybrid beamforming algorithms with f...
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Comprehensive Optimization of Parametric Kernels for Graphics Processing Units
This work deals with the optimization of computer programs targeting Gra...
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Randomized incomplete Ustatistics in high dimensions
This paper studies inference for the mean vector of a highdimensional U...
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Finite sample change point inference and identification for highdimensional mean vectors
Cumulative sum (CUSUM) statistics are widely used in the change point in...
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Xiaohui Chen
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