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ORCIDWenxin Jiang 0003
Person information
- affiliation: Northwestern University, Department of Statistics, Evanston, IL, USA
- affiliation (PhD 1996): Cornell University, Ithaca, NY, USA
Other persons with the same name
- Wenxin Jiang — disambiguation page
- Wenxin Jiang 0001
![[0000-0003-2608-8576]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2608-8576")
— Purdue University, Department of Electrical & Computer Engineering, West Lafayette, IN, USA - Wenxin Jiang 0002 — Fred Hutchinson Cancer Research Center, Seattle, WA, USA (and 1 more)
- Wenxin Jiang 0004 — North University of China, Key Laboratory of Advanced Manufacturing Technology, Taiyuan, China
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2020 – today
- 2021
[j16]Yang Xu, Hongmei Jiang, Wenxin Jiang:
Extended graphical lasso for multiple interaction networks for high dimensional omics data. PLoS Comput. Biol. 17(10) (2021)- [i4]Wei Ju, Wenxin Jiang:
A Note on Comparison of F-measures. CoRR abs/2112.04677 (2021) - 2020
- [j15]Yang Yu, Ning Zhang, Daniel W. Apley, Wenxin Jiang:
Including a Nugget Effect in Lifted Brownian Covariance Models. SIAM/ASA J. Uncertain. Quantification 8(4): 1338-1357 (2020) - [i3]Wenxin Jiang:
Statistical Formulas for F Measures. CoRR abs/2012.14894 (2020)
2010 – 2019
- 2019
- [i2]Ruimin Zhu, Thanapon Noraset, Alisa Liu, Wenxin Jiang, Doug Downey:
Multi-sense Definition Modeling using Word Sense Decompositions. CoRR abs/1909.09483 (2019) - 2018
- [c8]Ruimin Zhu, Wenxin Jiang:
Bayesian Complex Network Community Detection Using Nonparametric Topic Model. COMPLEX NETWORKS (1) 2018: 280-291 - 2017
- [j14]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:
Ultra-high dimensional variable selection with application to normative aging study: DNA methylation and metabolic syndrome. BMC Bioinform. 18(1): 156:1-156:7 (2017) - 2016
- [j13]Yi Gao, Wenxin Jiang, Martin A. Tanner:
Generalized Gini Correlation and its Application in Data-Mining. Data Min. Knowl. Discov. 30(6): 1455-1479 (2016) - [j12]Cheng Li, Wenxin Jiang:
On oracle property and asymptotic validity of Bayesian generalized method of moments. J. Multivar. Anal. 145: 132-147 (2016) - 2013
- [c7]Cheng Li, Wenxin Jiang, Martin A. Tanner:
General Oracle Inequalities for Gibbs Posterior with Application to Ranking. COLT 2013: 512-521 - [i1]Wenxin Jiang, Martin A. Tanner:
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results. CoRR abs/1301.7390 (2013) - 2012
- [j11]Eduardo F. Mendes, Wenxin Jiang:
On Convergence Rates of Mixtures of Polynomial Experts. Neural Comput. 24(11): 3025-3051 (2012) - 2011
- [j10]Lili Yao, Wenxin Jiang, Martin A. Tanner:
Predicting Panel Data Binary Choice with the Gibbs Posterior. Neural Comput. 23(10): 2683-2712 (2011)
2000 – 2009
- 2009
- [j9]Wenxin Jiang:
On Uniform Deviations of General Empirical Risks with Unboundedness, Dependence, and High Dimensionality. J. Mach. Learn. Res. 10: 977-996 (2009) - 2006
- [j8]Yang Ge, Wenxin Jiang:
On Consistency of Bayesian Inference with Mixtures of Logistic Regression. Neural Comput. 18(1): 224-243 (2006) - [j7]Wenxin Jiang:
On the Consistency of Bayesian Variable Selection for High Dimensional Binary Regression and Classification. Neural Comput. 18(11): 2762-2776 (2006) - [c6]Yang Ge, Wenxin Jiang:
A note on mixtures of experts for multiclass responses: approximation rate and Consistent Bayesian Inference. ICML 2006: 329-335 - 2004
- [j6]Wenxin Jiang:
Boosting with Noisy Data: Some Views from Statistical Theory. Neural Comput. 16(4): 789-810 (2004) - 2002
- [j5]Robert A. Jacobs, Wenxin Jiang, Martin A. Tanner:
Factorial Hidden Markov Models and the Generalized Backfitting Algorithm. Neural Comput. 14(10): 2415-2437 (2002) - 2001
- [c5]Wenxin Jiang:
Is regularization unnecessary for boosting?. AISTATS 2001: 129-136 - [c4]Wenxin Jiang:
Some Theoretical Aspects of Boosting in the Presence of Noisy Data. ICML 2001: 234-241 - 2000
- [j4]Wenxin Jiang:
The VC Dimension for Mixtures of Binary Classifiers. Neural Comput. 12(6): 1293-1301 (2000) - [j3]Wenxin Jiang, Martin A. Tanner:
On the asymptotic normality of hierarchical mixtures-of-experts for generalized linear models. IEEE Trans. Inf. Theory 46(3): 1005-1013 (2000) - [c3]Wenxin Jiang:
Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification. Multiple Classifier Systems 2000: 87-96
1990 – 1999
- 1999
- [j2]Wenxin Jiang, Martin A. Tanner:
On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models. Neural Comput. 11(5): 1183-1198 (1999) - [j1]Wenxin Jiang, Martin A. Tanner:
On the identifiability of mixtures-of-experts. Neural Networks 12(9): 1253-1258 (1999) - [c2]Wenxin Jiang, Martin A. Tanner:
Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency. AISTATS 1999 - 1998
- [c1]Wenxin Jiang, Martin A. Tanner:
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results. UAI 1998: 296-303
Coauthor Index
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