Wenxin Jiang

28 papers A* 3A 3Journal 20Unranked 2
YearRankTypeTitle / Venue / Authors
2021 J jnl
A Note on Comparison of F-measures.
CoRR
Wei Ju, Wenxin Jiang
2021 J jnl
Extended graphical lasso for multiple interaction networks for high dimensional omics data.
PLoS Comput. Biol.
Yang Xu, Hongmei Jiang, Wenxin Jiang
2020 J jnl
Including a Nugget Effect in Lifted Brownian Covariance Models.
SIAM/ASA J. Uncertain. Quantification
Yang Yu, Ning Zhang, Daniel W. Apley, Wenxin Jiang
2020 J jnl
Statistical Formulas for F Measures.
CoRR
Wenxin Jiang
2019 J jnl
Multi-sense Definition Modeling using Word Sense Decompositions.
CoRR
Ruimin Zhu, Thanapon Noraset, Alisa Liu, Wenxin Jiang, Doug Downey
2018 — conf
Bayesian Complex Network Community Detection Using Nonparametric Topic Model.
COMPLEX NETWORKS (1)
Ruimin Zhu, Wenxin Jiang
2017 J jnl
Ultra-high dimensional variable selection with application to normative aging study: DNA methylation and metabolic syndrome.
BMC Bioinform.
Grace Yoon, Yinan Zheng, Zhou Zhang, Haixiang Zhang, Tao Gao, Brian Joyce, Wei Zhang, Weihua Guan, Andrea A. Baccarelli, Wenxin Jiang, Joel Schwartz, Pantel Vokonas, Lifang Hou, Lei Liu
2016 J jnl
Generalized Gini Correlation and its Application in Data-Mining.
Data Min. Knowl. Discov.
Yi Gao, Wenxin Jiang, Martin A. Tanner
2016 J jnl
On oracle property and asymptotic validity of Bayesian generalized method of moments.
J. Multivar. Anal.
Cheng Li, Wenxin Jiang
2013 A* conf
General Oracle Inequalities for Gibbs Posterior with Application to Ranking.
COLT
Cheng Li, Wenxin Jiang, Martin A. Tanner
2013 J jnl
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results
CoRR
Wenxin Jiang, Martin A. Tanner
2012 J jnl
On Convergence Rates of Mixtures of Polynomial Experts.
Neural Comput.
Eduardo F. Mendes, Wenxin Jiang
2011 J jnl
Predicting Panel Data Binary Choice with the Gibbs Posterior.
Neural Comput.
Lili Yao, Wenxin Jiang, Martin A. Tanner
2009 J jnl
On Uniform Deviations of General Empirical Risks with Unboundedness, Dependence, and High Dimensionality.
J. Mach. Learn. Res.
Wenxin Jiang
2006 A* conf
A note on mixtures of experts for multiclass responses: approximation rate and Consistent Bayesian Inference.
ICML
Yang Ge, Wenxin Jiang
2006 J jnl
On Consistency of Bayesian Inference with Mixtures of Logistic Regression.
Neural Comput.
Yang Ge, Wenxin Jiang
2006 J jnl
On the Consistency of Bayesian Variable Selection for High Dimensional Binary Regression and Classification.
Neural Comput.
Wenxin Jiang
2004 J jnl
Boosting with Noisy Data: Some Views from Statistical Theory.
Neural Comput.
Wenxin Jiang
2002 J jnl
Factorial Hidden Markov Models and the Generalized Backfitting Algorithm.
Neural Comput.
Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner
2001 A conf
Is regularization unnecessary for boosting?.
AISTATS
Wenxin Jiang
2001 A* conf
Some Theoretical Aspects of Boosting in the Presence of Noisy Data.
ICML
Wenxin Jiang
2000 J jnl
On the asymptotic normality of hierarchical mixtures-of-experts for generalized linear models.
IEEE Trans. Inf. Theory
Wenxin Jiang, Martin A. Tanner
2000 — conf
Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification.
Multiple Classifier Systems
Wenxin Jiang
2000 J jnl
The VC Dimension for Mixtures of Binary Classifiers.
Neural Comput.
Wenxin Jiang
1999 A conf
Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency.
AISTATS
Wenxin Jiang, Martin A. Tanner
1999 J jnl
On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models.
Neural Comput.
Wenxin Jiang, Martin A. Tanner
1999 J jnl
On the identifiability of mixtures-of-experts.
Neural Networks
Wenxin Jiang, Martin A. Tanner
1998 A conf
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results.
UAI
Wenxin Jiang, Martin A. Tanner