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Statistics in Medicine
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October 20, 2022
Communication-efficient estimation and inference for high-dimensional quantile regression based on smoothed decorrelated score
Fengrui Di, Lei Wang, Heng Lian
Neural Networks : the Official Journal of the International Neural Network Society
|
January 14, 2025
Improved analysis of supervised learning in the RKHS with random features: Beyond least squares
Jiamin Liu, Lei Wang, Heng Lian
Neural Computation
|
September 22, 2007
On the consistency of Bayesian function approximation using step functions
Heng Lian
Biostatistics (Oxford, England)
|
December 1, 2007
MOST: detecting cancer differential gene expression
Heng Lian
IEEE Transactions on Neural Networks and Learning Systems
|
August 25, 2020
Learning Rate for Convex Support Tensor Machines
Heng Lian
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
February 21, 2009
Bayesian nonlinear principal component analysis using random fields
Heng Lian
IEEE Transactions on Neural Networks and Learning Systems
|
March 2, 2022
On Optimal Learning With Random Features
Jiamin Liu, Heng Lian
IEEE Transactions on Neural Networks and Learning Systems
|
September 17, 2024
Kernel-Based Decentralized Policy Evaluation for Reinforcement Learning
Jiamin Liu, Heng Lian
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
July 29, 2025
Decentralized Nonconvex Low-rank Matrix Recovery
Junzhuo Gao, Heng Lian
Statistics in Medicine
|
December 16, 2017
A partially linear additive model for clustered proportion data
Weihua Zhao, Heng Lian, Dipankar Bandyopadhyay
Page
of 1,985
Search research articles
Search
Showing results (1-10 of 19,844) with videos related to
Sort By:
Page
of 1,985
Statistics in Medicine
|
October 20, 2022
Communication-efficient estimation and inference for high-dimensional quantile regression based on smoothed decorrelated score
Fengrui Di, Lei Wang, Heng Lian
Neural Networks : the Official Journal of the International Neural Network Society
|
January 14, 2025
Improved analysis of supervised learning in the RKHS with random features: Beyond least squares
Jiamin Liu, Lei Wang, Heng Lian
Neural Computation
|
September 22, 2007
On the consistency of Bayesian function approximation using step functions
Heng Lian
Biostatistics (Oxford, England)
|
December 1, 2007
MOST: detecting cancer differential gene expression
Heng Lian
IEEE Transactions on Neural Networks and Learning Systems
|
August 25, 2020
Learning Rate for Convex Support Tensor Machines
Heng Lian
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
February 21, 2009
Bayesian nonlinear principal component analysis using random fields
Heng Lian
IEEE Transactions on Neural Networks and Learning Systems
|
March 2, 2022
On Optimal Learning With Random Features
Jiamin Liu, Heng Lian
IEEE Transactions on Neural Networks and Learning Systems
|
September 17, 2024
Kernel-Based Decentralized Policy Evaluation for Reinforcement Learning
Jiamin Liu, Heng Lian
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
July 29, 2025
Decentralized Nonconvex Low-rank Matrix Recovery
Junzhuo Gao, Heng Lian
Statistics in Medicine
|
December 16, 2017
A partially linear additive model for clustered proportion data
Weihua Zhao, Heng Lian, Dipankar Bandyopadhyay
Page
of 1,985