Zhixiang Eddie Xu

According to our database, Zhixiang Eddie Xu authored at least 17 papers between 2011 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Gradient Regularized Budgeted Boosting.

Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Alice X. Zheng

CoRR, 2019

2015

Marginalizing stacked linear denoising autoencoders.

Minmin Chen, Kilian Q. Weinberger, Zhixiang Eddie Xu, Fei Sha

J. Mach. Learn. Res., 2015

Compressed Support Vector Machines.

Zhixiang Eddie Xu, Jacob R. Gardner, Stephen Tyree, Kilian Q. Weinberger

CoRR, 2015

2014

Classifier cascades and trees for minimizing feature evaluation cost.

Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen, Olivier Chapelle

J. Mach. Learn. Res., 2014

Transductive Minimax Probability Machine.

Gao Huang, Shiji Song, Zhixiang Eddie Xu, Kilian Q. Weinberger

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Gradient boosted feature selection.

Zhixiang Eddie Xu, Gao Huang, Kilian Q. Weinberger, Alice X. Zheng

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Bayesian Optimization with Inequality Constraints.

Jacob R. Gardner, Matt J. Kusner, Zhixiang Eddie Xu, Kilian Q. Weinberger, John P. Cunningham

Proceedings of the 31th International Conference on Machine Learning, 2014

Feature-Cost Sensitive Learning with Submodular Trees of Classifiers.

Matt J. Kusner, Wenlin Chen, Quan Zhou, Zhixiang Eddie Xu, Kilian Q. Weinberger, Yixin Chen

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

An alternative text representation to TF-IDF and Bag-of-Words

Zhixiang Eddie Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha

CoRR, 2013

Cost-Sensitive Tree of Classifiers.

Zhixiang Eddie Xu, Matt J. Kusner, Kilian Q. Weinberger, Minmin Chen

Proceedings of the 30th International Conference on Machine Learning, 2013

Anytime Representation Learning.

Zhixiang Eddie Xu, Matt J. Kusner, Gao Huang, Kilian Q. Weinberger

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Classifier Cascade for Minimizing Feature Evaluation Cost.

Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle, Dor Kedem

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Distance Metric Learning for Kernel Machines

Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle

CoRR, 2012

The Greedy Miser: Learning under Test-time Budgets.

Zhixiang Eddie Xu, Kilian Q. Weinberger, Olivier Chapelle

Proceedings of the 29th International Conference on Machine Learning, 2012

Marginalized Denoising Autoencoders for Domain Adaptation.

Minmin Chen, Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha

Proceedings of the 29th International Conference on Machine Learning, 2012

From sBoW to dCoT marginalized encoders for text representation.

Zhixiang Eddie Xu, Minmin Chen, Kilian Q. Weinberger, Fei Sha

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Rapid Feature Learning with Stacked Linear Denoisers

Zhixiang Eddie Xu, Kilian Q. Weinberger, Fei Sha

CoRR, 2011