Mu Zhu

发表

The Counter-intuitive Non-informative Prior for the Bernoulli Family

Mu Zhu, 2004 .

Mu Zhu, 2002 .

Sparse networks of directly coupled, polymorphic, and functional side chains in allosteric proteins

Mu Zhu, Mu Zhu, Laleh Soltan Ghoraie, 2015, Proteins.

Expanded Alternating Optimization of Nonconvex Functions with Applications to Matrix Factorization and Penalized Regression

W. James Murdoch, Mu Zhu, 2014, 1412.4128.

Kernels and Ensembles : Perspectives on Statistical Learning

Mu Zhu, Mu ZHU, 2008 .

When is the majority-vote classifier beneficial?

Mu Zhu, 2013, 1307.6522.

Residue-Specific Side-Chain Polymorphisms via Particle Belief Propagation.

Mu Zhu, Laleh Soltan Ghoraie, F. Burkowski, 2013, IEEE/ACM transactions on computational biology and bioinformatics.

Variable selection by ensembles for the Cox model

Mu Zhu, Mu Zhu, Guangzhe Fan, 2011 .

High‐dimensional covariance matrix estimation using a low‐rank and diagonal decomposition

Mu Zhu, Yingli Qin, Yilei Wu, 2018, Canadian Journal of Statistics.

Constrained ordination analysis with flexible response functions

T. Hastie, Mu Zhu, G. Walther, 2005 .

Residue-Specific Side-Chain Polymorphisms via Particle Belief Propagation

Laleh Soltan Ghoraie, Forbes J. Burkowski, Shuai Cheng Li, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

RafterNet: Probabilistic predictions in multi-response regression

Mu Zhu, M. Hofert, Avinash Prasad, 2021, ArXiv.

Darwinian Evolution in Parallel Universes: A Parallel Genetic Algorithm for Variable Selection

Mu Zhu, Hugh A. Chipman, H. Chipman, 2006, Technometrics.

LAGO: A Computationally Efficient Approach for Statistical Detection

Mu Zhu, Hugh A. Chipman, Wanhua Su, 2006, Technometrics.

The Counter-intuitive Non-informative Prior for the Bernoulli Family

Mu Zhu, Arthur Y. Lu, A. Lu, 2004 .

Use of majority votes in statistical learning

Mu Zhu, Mu Zhu, 2015 .

Chemical Descriptors Are More Important Than Learning Algorithms for Modelling

Fei Yuan, S. Stanley Young, Mu Zhu, 2012, Molecular informatics.

Automatic dimensionality selection from the scree plot via the use of profile likelihood

Mu Zhu, Ali Ghodsi, Mu Zhu, 2006, Comput. Stat. Data Anal..

Feature Extraction for Nonparametric

T. Hastie, Mu Zhu, 2016 .

Feature Extraction for Nonparametric Discriminant Analysis

Trevor Hastie, Mu Zhu, T. Hastie, 2003 .

LAGO : A Computationally Efficient Approach for Statistical Detection

Mu Zhu, Mu ZHU, 2008 .

Content-boosted matrix factorization for recommender systems: experiments with recipe recommendation

Mu Zhu, Peter Forbes, Mu Zhu, 2011, RecSys '11.

Quasi-Random Sampling for Multivariate Distributions via Generative Neural Networks

Mu Zhu, M. Hofert, Avinash Prasad, 2018, J. Comput. Graph. Stat..

Applications of multivariate quasi-random sampling with neural networks

Mu Zhu, M. Hofert, Avinash Prasad, 2020, MCQMC.

Quasi-random number generators for multivariate distributions based on generative neural networks pdf

Mu Zhu, Marius Hofert, Avinash Prasad, 2018, ArXiv.

Pruning variable selection ensembles

Chunxia Zhang, Mu Zhu, Yilei Wu, 2017, Stat. Anal. Data Min..

Content‐boosted matrix factorization techniques for recommender systems pdf

Mu Zhu, Jennifer Nguyen, Mu Zhu, 2012, Stat. Anal. Data Min..

Two-stage approach for unbalanced classification with time-varying decision boundary: application to marine container inspection

Richard Hoshino, Mu Zhu, R. Wayne Oldford, 2010, ISI-KDD '10.

Stochastic Stepwise Ensembles for Variable Selection

Mu Zhu, Lu Xin, Mu Zhu, 2010, 1003.5930.

Kernels and Ensembles

Mu Zhu, Mu Zhu, 2007, 0712.1027.

A framework for measuring association of random vectors via collapsed random variables

Mu Zhu, Marius Hofert, Wayne Oldford, 2019, J. Multivar. Anal..

A framework for measuring dependence between random vectors

Mu Zhu, M. Hofert, Wayne Oldford, 2018, 1801.03596.

Classifying Network Data with Deep Kernel Machines

Xiao Tang, Mu Zhu, Mu Zhu, 2010, 1001.4019.

Detection of rare items with TARGET

Mu Zhu, Guangzhe Fan, Mu Zhu, 2011 .

Variable Selection in Cox's Proportional Hazards Model Using a Parallel Genetic Algorithm

Mu Zhu, Guangzhe Fan, N. Ontario, 2006 .

A Simple Technique for Automatically Selecting the Number of Principal Components via the Use of Profile Likelihood

Mu Zhu, 2004 .

RafterNet: Probabilistic Predictions in Multi-Response Regression

Mu Zhu, M. Hofert, Avinash Prasad, 2021, The American Statistician.

Multivariate time-series modeling with generative neural networks

Mu Zhu, M. Hofert, Avinash Prasad, 2020, Econometrics and Statistics.