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Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink


Mar 11, 2021
Ranjie Duan, Xiaofeng Mao, A. K. Qin, Yun Yang, Yuefeng Chen, Shaokai Ye, Yuan He

* Accepted to CVPR2021 

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Fast Statistical Leverage Score Approximation in Kernel Ridge Regression


Mar 09, 2021
Yifan Chen, Yun Yang

* To appear in the 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021) 

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Accumulations of Projections--A Unified Framework for Random Sketches in Kernel Ridge Regression


Mar 06, 2021
Yifan Chen, Yun Yang

* To appear in the 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021) 

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


Feb 26, 2021
Cheng Xie, Ting Zeng, Hongxin Xiang, Keqin Li, Yun Yang, Qing Liu


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


Feb 23, 2021
Hongxin Xiang, Cheng Xie, Ting Zeng, Yun Yang


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


Jan 25, 2021
Cheng Xie, Hongxin Xiang, Ting Zeng, Yun Yang, Beibei Yu, Qing Liu


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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


Sep 06, 2020
Po Yang, Jun Qi, Xulong Wang, Yun Yang


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Hyperspectral Images Classification Based on Multi-scale Residual Network


May 12, 2020
Xiangdong Zhang, Tengjun Wang, Yun Yang


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


Apr 26, 2020
Xiangdong Zhang, Tengjun Wang, Yun Yang


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


Apr 05, 2020
Xi Chen, Jason D. Lee, He Li, Yun Yang


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Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles


Mar 08, 2020
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang


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Cutoff for exact recovery of Gaussian mixture models


Jan 05, 2020
Xiaohui Chen, Yun Yang


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Statistical Inference in Mean-Field Variational Bayes


Nov 04, 2019
Wei Han, Yun Yang


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


Sep 22, 2019
Dongwei Li, Shuliang Wang, Nan Gao, Qiang He, Yun Yang


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


Mar 22, 2019
Peng Zhao, Yun Yang, Qiao-Chu He


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


Mar 11, 2019
Xiaohui Chen, Yun Yang


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$α$-Variational Inference with Statistical Guarantees


Feb 07, 2018
Yun Yang, Debdeep Pati, Anirban Bhattacharya


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On Statistical Optimality of Variational Bayes


Dec 25, 2017
Debdeep Pati, Anirban Bhattacharya, Yun Yang

* Accepted at AISTATS 2018 

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


Aug 16, 2017
Yun Yang, Anirban Bhattacharya, Debdeep Pati


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Statistical inference for high dimensional regression via Constrained Lasso


Apr 17, 2017
Yun Yang


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Bayesian model selection consistency and oracle inequality with intractable marginal likelihood


Jan 09, 2017
Yun Yang, Debdeep Pati


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Communication-Efficient Distributed Statistical Inference


Nov 06, 2016
Michael I. Jordan, Jason D. Lee, Yun Yang


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Joint estimation of quantile planes over arbitrary predictor spaces


Jul 11, 2015
Yun Yang, Surya Tokdar


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On the Computational Complexity of High-Dimensional Bayesian Variable Selection


May 29, 2015
Yun Yang, Martin J. Wainwright, Michael I. Jordan

* 42 pages, 3 figures 

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


Jan 25, 2015
Yun Yang, Mert Pilanci, Martin J. Wainwright

* 27 pages, 3 figures 

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Minimax Optimal Bayesian Aggregation


Mar 06, 2014
Yun Yang, David B. Dunson

* 37 pages 

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Bayesian crack detection in ultra high resolution multimodal images of paintings


Apr 23, 2013
Bruno Cornelis, Yun Yang, Joshua T. Vogelstein, Ann Dooms, Ingrid Daubechies, David Dunson

* 8 pages, double column 

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