Zhixiang Eddie Xu

Publication Activity (10 Years)

Years Active: 2011-2019
Publications (10 Years): 4

Top Topics

Metric Learning

Cost Sensitive Learning

Top Venues

J. Mach. Learn. Res.

Publications

Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Alice X. Zheng
Gradient Regularized Budgeted Boosting. CoRR (2019)
Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng
Gradient Boosted Feature Selection. CoRR (2019)
Zhixiang Eddie Xu, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger
Compressed Support Vector Machines. CoRR (2015)
Minmin Chen, Kilian Q. Weinberger, Zhixiang Eddie Xu, Fei Sha
Marginalizing stacked linear denoising autoencoders. J. Mach. Learn. Res. 16 (2015)
Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen, Olivier Chapelle
Classifier cascades and trees for minimizing feature evaluation cost. J. Mach. Learn. Res. 15 (1) (2014)
Matt J. Kusner, Wenlin Chen, Quan Zhou, Zhixiang Eddie Xu, Kilian Q. Weinberger, Yixin Chen
Feature-Cost Sensitive Learning with Submodular Trees of Classifiers. AAAI (2014)
Gao Huang, Shiji Song, Zhixiang Eddie Xu, Kilian Q. Weinberger
Transductive Minimax Probability Machine. ECML/PKDD (1) (2014)
Jacob R. Gardner, Matt J. Kusner, Zhixiang Eddie Xu, Kilian Q. Weinberger, John P. Cunningham
Bayesian Optimization with Inequality Constraints. ICML (2014)
Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng
Gradient boosted feature selection. KDD (2014)
Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen
Cost-Sensitive Tree of Classifiers. ICML (1) (2013)
Zhixiang Eddie Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha
An alternative text representation to TF-IDF and Bag-of-Words CoRR (2013)
Zhixiang Eddie Xu, Matt J. Kusner, Gao Huang, Kilian Q. Weinberger
Anytime Representation Learning. ICML (3) (2013)
Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha
Marginalized Denoising Autoencoders for Domain Adaptation CoRR (2012)
Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha
Marginalized Denoising Autoencoders for Domain Adaptation. ICML (2012)
Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem
Classifier Cascade for Minimizing Feature Evaluation Cost. AISTATS (2012)
Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle
The Greedy Miser: Learning under Test-time Budgets. ICML (2012)
Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen
Cost-Sensitive Tree of Classifiers CoRR (2012)
Zhixiang Eddie Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha
From sBoW to dCoT marginalized encoders for text representation. CIKM (2012)
Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle
Distance Metric Learning for Kernel Machines CoRR (2012)
Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha
Rapid Feature Learning with Stacked Linear Denoisers CoRR (2011)