b'Yun Yang'

Class Knowledge Overlay to Visual Feature Learning for Zero-Shot Image Classification

New categories can be discovered by transforming semantic features into ...
02/26/2021 ∙ by Cheng Xie, et al. ∙ 0 ∙ share

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Multi-Knowledge Fusion for New Feature Generation in Generalized Zero-Shot Learning

Suffering from the semantic insufficiency and domain-shift problems, mos...
02/23/2021 ∙ by Hongxin Xiang, et al. ∙ 0 ∙ share

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EdgeWorkflowReal: An Edge Computing based Workflow Execution Engine for Smart Systems

Current cloud-based smart systems suffer from weaknesses such as high re...
01/30/2021 ∙ by Xuejun Li, et al. ∙ 0 ∙ share

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Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization

Although zero-shot learning (ZSL) has an inferential capability of recog...
01/25/2021 ∙ by Cheng Xie, et al. ∙ 6 ∙ share

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Efficiently Finding a Maximal Clique Summary via Effective Sampling

Maximal clique enumeration (MCE) is a fundamental problem in graph theor...
09/22/2020 ∙ by Xiaofan Li, et al. ∙ 0 ∙ share

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MFL_COVID19: Quantifying Country-based Factors affecting Case Fatality Rate in Early Phase of COVID-19 Epidemic via Regularised Multi-task Feature Learning

Recent outbreak of COVID-19 has led a rapid global spread around the wor...
09/06/2020 ∙ by Po Yang, et al. ∙ 19 ∙ share

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Hyperspectral image classification based on multi-scale residual network with attention mechanism

Compared with traditional machine learning methods, deep learning method...
04/26/2020 ∙ by Xiangdong Zhang, et al. ∙ 6 ∙ share

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Distributed Estimation for Principal Component Analysis: a Gap-free Approach

The growing size of modern data sets brings many challenges to the exist...
04/05/2020 ∙ by Xi Chen, et al. ∙ 10 ∙ share

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Cutoff for exact recovery of Gaussian mixture models

We determine the cutoff value on separation of cluster centers for exact...
01/05/2020 ∙ by Xiaohui Chen, et al. ∙ 0 ∙ share

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Statistical Inference in Mean-Field Variational Bayes

We conduct non-asymptotic analysis on the mean-field variational inferen...
11/04/2019 ∙ by Wei Han, et al. ∙ 13 ∙ share

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Gaussian Processes with Errors in Variables: Theory and Computation

Covariate measurement error in nonparametric regression is a common prob...
10/14/2019 ∙ by Shuang Zhou, et al. ∙ 0 ∙ share

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Model-based Statistical Depth with Applications to Functional Data

Statistical depth, a commonly used analytic tool in non-parametric stati...
09/26/2019 ∙ by Weilong Zhao, et al. ∙ 0 ∙ share

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Cutting the Unnecessary Long Tail: Cost-Effective Big Data Clustering in the Cloud

Clustering big data often requires tremendous computational resources wh...
09/22/2019 ∙ by Dongwei Li, et al. ∙ 0 ∙ share

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Edge User Allocation with Dynamic Quality of Service

In edge computing, edge servers are placed in close proximity to end-use...
07/26/2019 ∙ by Phu Lai, et al. ∙ 0 ∙ share

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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...
04/11/2019 ∙ by Phu Lai, et al. ∙ 0 ∙ share

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Implicit Regularization via Hadamard Product Over-Parametrization in High-Dimensional Linear Regression

We consider Hadamard product parametrization as a change-of-variable (ov...
03/22/2019 ∙ by Peng Zhao, et al. ∙ 0 ∙ share

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Diffusion K-means clustering on manifolds: provable exact recovery via semidefinite relaxations

We introduce the diffusion K-means clustering method on Riemannian subm...
03/11/2019 ∙ by Xiaohui Chen, et al. ∙ 0 ∙ share

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Hanson-Wright inequality in Hilbert spaces with application to K-means clustering for non-Euclidean data

We derive a dimensional-free Hanson-Wright inequality for quadratic form...
10/26/2018 ∙ by Xiaohui Chen, et al. ∙ 0 ∙ share

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On Statistical Optimality of Variational Bayes

The article addresses a long-standing open problem on the justification ...
12/25/2017 ∙ by Debdeep Pati, et al. ∙ 0 ∙ share

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α-Variational Inference with Statistical Guarantees

We propose a variational approximation to Bayesian posterior distributio...
10/09/2017 ∙ by Yun Yang, et al. ∙ 0 ∙ share

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Frequentist coverage and sup-norm convergence rate in Gaussian process regression

Gaussian process (GP) regression is a powerful interpolation technique d...
08/16/2017 ∙ by Yun Yang, et al. ∙ 0 ∙ share

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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...
04/17/2017 ∙ by Yun Yang, et al. ∙ 0 ∙ share

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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...
01/02/2017 ∙ by Yun Yang, et al. ∙ 0 ∙ share

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Communication-Efficient Distributed Statistical Inference

We present a Communication-efficient Surrogate Likelihood (CSL) framewor...
05/25/2016 ∙ by Michael I. Jordan, et al. ∙ 0 ∙ share

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On the Computational Complexity of High-Dimensional Bayesian Variable Selection

We study the computational complexity of Markov chain Monte Carlo (MCMC)...
05/29/2015 ∙ by Yun Yang, et al. ∙ 0 ∙ share

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Randomized sketches for kernels: Fast and optimal non-parametric regression

Kernel ridge regression (KRR) is a standard method for performing non-pa...
01/25/2015 ∙ by Yun Yang, et al. ∙ 0 ∙ share

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Minimax Optimal Bayesian Aggregation

It is generally believed that ensemble approaches, which combine multipl...
03/06/2014 ∙ by Yun Yang, et al. ∙ 0 ∙ share

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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...
04/22/2013 ∙ by Bruno Cornelis, et al. ∙ 0 ∙ share

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Yun Yang

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