Wenxin Jiang
Affiliations:- Northwestern University, Department of Statistics, Evanston, IL, USA
- Cornell University, Ithaca, NY, USA (PhD 1996)
According to our database1,
Wenxin Jiang
authored at least 27 papers
between 1998 and 2021.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on scopus.com
On csauthors.net:
Bibliography
2021
Extended graphical lasso for multiple interaction networks for high dimensional omics data.
PLoS Comput. Biol., 2021
2020
SIAM/ASA J. Uncertain. Quantification, 2020
2019
2018
Proceedings of the Complex Networks and Their Applications VII, 2018
2017
Ultra-high dimensional variable selection with application to normative aging study: DNA methylation and metabolic syndrome.
BMC Bioinform., 2017
2016
On oracle property and asymptotic validity of Bayesian generalized method of moments.
J. Multivar. Anal., 2016
Data Min. Knowl. Discov., 2016
2013
Proceedings of the COLT 2013, 2013
2012
2011
2009
On Uniform Deviations of General Empirical Risks with Unboundedness, Dependence, and High Dimensionality.
J. Mach. Learn. Res., 2009
2006
On the Consistency of Bayesian Variable Selection for High Dimensional Binary Regression and Classification.
Neural Comput., 2006
Neural Comput., 2006
A note on mixtures of experts for multiclass responses: approximation rate and Consistent Bayesian Inference.
Proceedings of the Machine Learning, 2006
2004
2002
Neural Comput., 2002
2001
Some Theoretical Aspects of Boosting in the Presence of Noisy Data.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, 2001
2000
On the asymptotic normality of hierarchical mixtures-of-experts for generalized linear models.
IEEE Trans. Inf. Theory, 2000
Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000
1999
On the Approximation Rate of Hierarchical Mixtures-of-Experts for Generalized Linear Models.
Neural Comput., 1999
Hierarchical mixtures-of-experts for generalized linear models: some results on denseness and consistency.
Proceedings of the Seventh International Workshop on Artificial Intelligence and Statistics, 1999
1998
Hierarchical Mixtures-of-Experts for Exponential Family Regression Models with Generalized Linear Mean Functions: A Survey of Approximation and Consistency Results.
Proceedings of the UAI '98: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, 1998