
MFL_COVID19: Quantifying Countrybased Factors affecting Case Fatality Rate in Early Phase of COVID19 Epidemic via Regularised Multitask Feature Learning
Recent outbreak of COVID19 has led a rapid global spread around the wor...
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Hyperspectral image classification based on multiscale residual network with attention mechanism
Compared with traditional machine learning methods, deep learning method...
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Distributed Estimation for Principal Component Analysis: a Gapfree Approach
The growing size of modern data sets brings many challenges to the exist...
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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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Statistical Inference in MeanField Variational Bayes
We conduct nonasymptotic analysis on the meanfield variational inferen...
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Gaussian Processes with Errors in Variables: Theory and Computation
Covariate measurement error in nonparametric regression is a common prob...
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Modelbased Statistical Depth with Applications to Functional Data
Statistical depth, a commonly used analytic tool in nonparametric stati...
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Cutting the Unnecessary Long Tail: CostEffective Big Data Clustering in the Cloud
Clustering big data often requires tremendous computational resources wh...
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Edge User Allocation with Dynamic Quality of Service
In edge computing, edge servers are placed in close proximity to enduse...
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Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing
In mobile edge computing, edge servers are geographically distributed ar...
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Implicit Regularization via Hadamard Product OverParametrization in HighDimensional Linear Regression
We consider Hadamard product parametrization as a changeofvariable (ov...
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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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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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On Statistical Optimality of Variational Bayes
The article addresses a longstanding open problem on the justification ...
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αVariational Inference with Statistical Guarantees
We propose a variational approximation to Bayesian posterior distributio...
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Frequentist coverage and supnorm convergence rate in Gaussian process regression
Gaussian process (GP) regression is a powerful interpolation technique d...
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Statistical inference for high dimensional regression via Constrained Lasso
In this paper, we propose a new method for estimation and constructing c...
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Bayesian model selection consistency and oracle inequality with intractable marginal likelihood
In this article, we investigate large sample properties of model selecti...
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CommunicationEfficient Distributed Statistical Inference
We present a Communicationefficient Surrogate Likelihood (CSL) framewor...
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On the Computational Complexity of HighDimensional Bayesian Variable Selection
We study the computational complexity of Markov chain Monte Carlo (MCMC)...
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Randomized sketches for kernels: Fast and optimal nonparametric regression
Kernel ridge regression (KRR) is a standard method for performing nonpa...
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Minimax Optimal Bayesian Aggregation
It is generally believed that ensemble approaches, which combine multipl...
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Bayesian crack detection in ultra high resolution multimodal images of paintings
The preservation of our cultural heritage is of paramount importance. Th...
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Yun Yang
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