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Heng Lian

Showing results (1-10 of 48) with videos related to

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Neural Computation|September 22, 2007
On the consistency of Bayesian function approximation using step functionsHeng Lian
Biostatistics (Oxford, England)|December 1, 2007
MOST: detecting cancer differential gene expressionHeng Lian
IEEE Transactions on Neural Networks and Learning Systems|August 25, 2020
Learning Rate for Convex Support Tensor MachinesHeng Lian
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 21, 2009
Bayesian nonlinear principal component analysis using random fieldsHeng Lian
IEEE Transactions on Neural Networks and Learning Systems|March 2, 2022
On Optimal Learning With Random FeaturesJiamin Liu, Heng Lian
IEEE Transactions on Neural Networks and Learning Systems|September 17, 2024
Kernel-Based Decentralized Policy Evaluation for Reinforcement LearningJiamin Liu, Heng Lian
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 29, 2025
Decentralized Nonconvex Low-rank Matrix RecoveryJunzhuo Gao, Heng Lian
Statistics in Medicine|December 16, 2017
A partially linear additive model for clustered proportion dataWeihua Zhao, Heng Lian, Dipankar Bandyopadhyay
Neural Networks : the Official Journal of the International Neural Network Society|July 3, 2021
Distributed learning for sketched kernel regressionHeng Lian, Jiamin Liu, Zengyan Fan
Statistics in Medicine|October 20, 2022
Communication-efficient estimation and inference for high-dimensional quantile regression based on smoothed decorrelated scoreFengrui Di, Lei Wang, Heng Lian
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Neural Computation|September 22, 2007
On the consistency of Bayesian function approximation using step functionsHeng Lian
Biostatistics (Oxford, England)|December 1, 2007
MOST: detecting cancer differential gene expressionHeng Lian
IEEE Transactions on Neural Networks and Learning Systems|August 25, 2020
Learning Rate for Convex Support Tensor MachinesHeng Lian
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 21, 2009
Bayesian nonlinear principal component analysis using random fieldsHeng Lian
IEEE Transactions on Neural Networks and Learning Systems|March 2, 2022
On Optimal Learning With Random FeaturesJiamin Liu, Heng Lian
IEEE Transactions on Neural Networks and Learning Systems|September 17, 2024
Kernel-Based Decentralized Policy Evaluation for Reinforcement LearningJiamin Liu, Heng Lian
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 29, 2025
Decentralized Nonconvex Low-rank Matrix RecoveryJunzhuo Gao, Heng Lian
Statistics in Medicine|December 16, 2017
A partially linear additive model for clustered proportion dataWeihua Zhao, Heng Lian, Dipankar Bandyopadhyay
Neural Networks : the Official Journal of the International Neural Network Society|July 3, 2021
Distributed learning for sketched kernel regressionHeng Lian, Jiamin Liu, Zengyan Fan
Statistics in Medicine|October 20, 2022
Communication-efficient estimation and inference for high-dimensional quantile regression based on smoothed decorrelated scoreFengrui Di, Lei Wang, Heng Lian
Pageof 5