Zhixiang Eddie Xu

20 papers A* 5A 2Journal 10Unranked 3

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