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Zhixiang Eddie Xu
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2010 – 2019
- 2019
- [i8]Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng:
Gradient Boosted Feature Selection. CoRR abs/1901.04055 (2019) - [i7]Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Alice X. Zheng:
Gradient Regularized Budgeted Boosting. CoRR abs/1901.04065 (2019) - 2015
- [j2]Minmin Chen, Kilian Q. Weinberger, Zhixiang Eddie Xu, Fei Sha:
Marginalizing stacked linear denoising autoencoders. J. Mach. Learn. Res. 16: 3849-3875 (2015) - [i6]Zhixiang Eddie Xu, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger:
Compressed Support Vector Machines. CoRR abs/1501.06478 (2015) - 2014
- [j1]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): 2113-2144 (2014) - [c10]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: 1939-1945 - [c9]Jacob R. Gardner, Matt J. Kusner, Zhixiang Eddie Xu, Kilian Q. Weinberger, John P. Cunningham:
Bayesian Optimization with Inequality Constraints. ICML 2014: 937-945 - [c8]Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng:
Gradient boosted feature selection. KDD 2014: 522-531 - [c7]Gao Huang, Shiji Song, Zhixiang Eddie Xu, Kilian Q. Weinberger:
Transductive Minimax Probability Machine. ECML/PKDD (1) 2014: 579-594 - 2013
- [c6]Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen:
Cost-Sensitive Tree of Classifiers. ICML (1) 2013: 133-141 - [c5]Zhixiang Eddie Xu, Matt J. Kusner, Gao Huang, Kilian Q. Weinberger:
Anytime Representation Learning. ICML (3) 2013: 1076-1084 - [i5]Zhixiang Eddie Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha:
An alternative text representation to TF-IDF and Bag-of-Words. CoRR abs/1301.6770 (2013) - 2012
- [c4]Zhixiang Eddie Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha:
From sBoW to dCoT marginalized encoders for text representation. CIKM 2012: 1879-1884 - [c3]Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha:
Marginalized Denoising Autoencoders for Domain Adaptation. ICML 2012 - [c2]Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle:
The Greedy Miser: Learning under Test-time Budgets. ICML 2012 - [c1]Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem:
Classifier Cascade for Minimizing Feature Evaluation Cost. AISTATS 2012: 218-226 - [i4]Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha:
Marginalized Denoising Autoencoders for Domain Adaptation. CoRR abs/1206.4683 (2012) - [i3]Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle:
Distance Metric Learning for Kernel Machines. CoRR abs/1208.3422 (2012) - [i2]Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen:
Cost-Sensitive Tree of Classifiers. CoRR abs/1210.2771 (2012) - 2011
- [i1]Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha:
Rapid Feature Learning with Stacked Linear Denoisers. CoRR abs/1105.0972 (2011)
Coauthor Index
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