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Neural Computation
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April 24, 2013
A Monte Carlo Metropolis-Hastings algorithm for sampling from distributions with intractable normalizing constants
Faming Liang, Ick-Hoon Jin
Advances in Neural Information Processing Systems
|
September 24, 2021
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
Wei Deng, Guang Lin, Faming Liang
Statistics and Its Interface
|
April 16, 2021
Accelerate Training of Restricted Boltzmann Machines via Iterative Conditional Maximum Likelihood Estimation
Mingqi Wu, Ye Luo, Faming Liang
Journal of the American Statistical Association
|
October 17, 2022
Markov Neighborhood Regression for High-Dimensional Inference
Faming Liang, Jingnan Xue, Bochao Jia
Journal of Data Science : JDS
|
November 21, 2025
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior
Mingxuan Zhang, Yan Sun, Faming Liang
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences
|
October 17, 2017
A Bootstrap Metropolis-Hastings Algorithm for Bayesian Analysis of Big Data
Faming Liang, Jinsu Kim, Qifan Song
Statistics and Its Interface
|
August 24, 2019
A Split-and-Merge Approach for Singular Value Decomposition of Large-Scale Matrices
Faming Liang, Runmin Shi, Qianxing Mo
Genomics, Proteomics & Bioinformatics
|
November 5, 2013
Bayesian peak picking for NMR spectra
Yichen Cheng, Xin Gao, Faming Liang
Statistics & Probability Letters
|
November 8, 2021
Learning Sparse Deep Neural Networks with a Spike-and-Slab Prior
Yan Sun, Qifan Song, Faming Liang
Computational Statistics
|
January 27, 2025
An Extended Langevinized Ensemble Kalman Filter for non-Gaussian Dynamic Systems
Peiyi Zhang, Tianning Dong, Faming Liang
Page
of 8
Search research articles
Search
Showing results (21-30 of 72) with videos related to
Sort By:
Page
of 8
Neural Computation
|
April 24, 2013
A Monte Carlo Metropolis-Hastings algorithm for sampling from distributions with intractable normalizing constants
Faming Liang, Ick-Hoon Jin
Advances in Neural Information Processing Systems
|
September 24, 2021
A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions
Wei Deng, Guang Lin, Faming Liang
Statistics and Its Interface
|
April 16, 2021
Accelerate Training of Restricted Boltzmann Machines via Iterative Conditional Maximum Likelihood Estimation
Mingqi Wu, Ye Luo, Faming Liang
Journal of the American Statistical Association
|
October 17, 2022
Markov Neighborhood Regression for High-Dimensional Inference
Faming Liang, Jingnan Xue, Bochao Jia
Journal of Data Science : JDS
|
November 21, 2025
Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior
Mingxuan Zhang, Yan Sun, Faming Liang
Technometrics : a Journal of Statistics for the Physical, Chemical, and Engineering Sciences
|
October 17, 2017
A Bootstrap Metropolis-Hastings Algorithm for Bayesian Analysis of Big Data
Faming Liang, Jinsu Kim, Qifan Song
Statistics and Its Interface
|
August 24, 2019
A Split-and-Merge Approach for Singular Value Decomposition of Large-Scale Matrices
Faming Liang, Runmin Shi, Qianxing Mo
Genomics, Proteomics & Bioinformatics
|
November 5, 2013
Bayesian peak picking for NMR spectra
Yichen Cheng, Xin Gao, Faming Liang
Statistics & Probability Letters
|
November 8, 2021
Learning Sparse Deep Neural Networks with a Spike-and-Slab Prior
Yan Sun, Qifan Song, Faming Liang
Computational Statistics
|
January 27, 2025
An Extended Langevinized Ensemble Kalman Filter for non-Gaussian Dynamic Systems
Peiyi Zhang, Tianning Dong, Faming Liang
Page
of 8