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Approximation of stable law in Wasserstein-1 distance by Stein’s method Journal article
ANNALS OF APPLIED PROBABILITY, 2019,Volume: 29,Issue: 1,Page: 458-504
Authors:  Xu, Lihu
Favorite  |  View/Download:15/0  |  Submit date:2019/01/17
Stable Approximation  Wasserstein-1 Distance (W-1 Distance)  Stein's Method  L-1 Discrepancy  Normal Domain Of Attraction Of Stable Law  Alpha-stable Processes  
Linear Statistics of Random Matrix Ensembles at the Spectrum Edge Associated with the Airy Kernel Journal article
arXiv, 2019
Authors:  Chao Min;  Yang Chen
Favorite  |  View/Download:4/0  |  Submit date:2019/07/22
Random Matrix Ensembles  Linear Statistics  Moment-generating Function  Airy Kernel  Mean And Variance  Asymptotics  
Sparse bayesian kernel multinomial probit regression model for high-dimensional data classification Journal article
Communications in Statistics - Theory and Methods, 2019,Volume: 48,Issue: 1,Page: 165-176
Authors:  Aijun Yang;  Xuejun Jiang;  Lianjie Shu;  Pengfei Liu
Favorite  |  View/Download:6/0  |  Submit date:2019/08/01
Correlation Prior  High-dimensional Data Classification  Multicategory Support Vector Machine  Sparse Bayesian Method  
Critical edge behavior in the perturbed Laguerre unitary ensemble and the Painlevé V transcendent Journal article
Journal of Mathematical Analysis and Applications, 2019,Volume: 474,Issue: 1,Page: 572-611
Authors:  Chen M.;  Chen Y.;  Fan E.-G.
Favorite  |  View/Download:13/0  |  Submit date:2019/02/12
Deift–zhou Nonlinear Steepest Descent Method  Hankel Determinants  Painlevé v Equation  Perturbed Laguerre Weight  Riemann–hilbert Problem  
KARL: Fast Kernel Aggregation Queries Conference paper
Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE), Macao, 2019
Authors:  Tsz Nam Chan;  Man Lung Yiu;  Leong Hou U
Favorite  |  View/Download:5/0  |  Submit date:2019/07/24
The Riemann–Hilbert analysis to the Pollaczek–Jacobi type orthogonal polynomials Journal article
Studies in Applied Mathematics, 2019
Authors:  Min Chen;  Yang Chen;  En‐Gui Fan
Favorite  |  View/Download:2/0  |  Submit date:2019/06/03
Asymptotic Analysis  Mathematical Physics  
Empirical kernel map-based multilayer extreme learning machines for representation learning Journal article
NEUROCOMPUTING, 2018,Volume: 310,Page: 265-276
Authors:  Chi-Man Vong;  Chen, Chuangquan;  Wong, Pak-Kin
Favorite  |  View/Download:92/0  |  Submit date:2018/10/30
Kernel Learning  Multilayer Extreme Learning Machine (Ml-elm)  Empirical Kernel Map (Ekm)  Representation Learning  Stacked Autoencoder (Sae)  
Shared Autoencoder Gaussian Process Latent Variable Model for Visual Classification Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 9,Page: 4272-4286
Authors:  Li, Jinxing;  Zhang, Bob;  Zhang, David
Favorite  |  View/Download:13/0  |  Submit date:2018/10/30
Autoencoder  discriminative  Gaussian process (GP)  kernel  latent variable model  multiview  
A combined Weisfeiler-Lehman graph kernel for structured data Journal article
INTERNATIONAL JOURNAL OF WAVELETS MULTIRESOLUTION AND INFORMATION PROCESSING, 2018,Volume: 16,Issue: 5
Authors:  Xu, Lixiang;  Tang, Yuanyan;  Luo, Bin;  Cui, Lixin;  Chen, Xiu;  Xiao, Jin
Favorite  |  View/Download:18/0  |  Submit date:2018/10/30
Graph kernel  graph classification  Weisfeiler-Lehman algorithm  combined graph kernel  
Learning With Coefficient-Based Regularized Regression on Markov Resampling Journal article
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018,Volume: 29,Issue: 9,Page: 4166-4176
Authors:  Li, Luoqing;  Li, Weifu;  Zou, Bin;  Wang, Yulong;  Tang, Yuan Yan;  Han, Hua
Favorite  |  View/Download:15/0  |  Submit date:2018/10/30
Coefficient-based regularized regression (CBRR)  learning rate  Markov resampling  uniformly ergodic Markov chain (u.e.M.c.)