Zhixiang (Eddie) Xu
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Marginalized denoising autoencoders for domain adaptation
M Chen, Z Xu, K Weinberger, F Sha
arXiv preprint arXiv:1206.4683, 2012
Bayesian Optimization with Inequality Constraints.
JR Gardner, MJ Kusner, ZE Xu, KQ Weinberger, JP Cunningham
ICML 2014, 937-945, 2014
The greedy miser: Learning under test-time budgets
Z Xu, K Weinberger, O Chapelle
arXiv preprint arXiv:1206.6451, 2012
Cost-sensitive tree of classifiers
Z Xu, M Kusner, K Weinberger, M Chen
International conference on machine learning, 133-141, 2013
Gradient boosted feature selection
Z Xu, G Huang, KQ Weinberger, AX Zheng
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
Classifier cascade: Tradeoff between accuracy and feature evaluation cost
M Chen, Z Xu, KQ Weinberger, O Chapelle, D Kedem
International conference on artificial intelligence and statistics, 235-242, 2012
Classifier cascades and trees for minimizing feature evaluation cost
Z Xu, MJ Kusner, KQ Weinberger, M Chen, O Chapelle
The Journal of Machine Learning Research 15 (1), 2113-2144, 2014
Distance metric learning for kernel machines
Z Xu, KQ Weinberger, O Chapelle
arXiv preprint arXiv:1208.3422, 2012
Feature-cost sensitive learning with submodular trees of classifiers
M Kusner, W Chen, Q Zhou, ZE Xu, K Weinberger, Y Chen
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
Marginalizing stacked linear denoising autoencoders
M Chen, KQ Weinberger, Z Xu, F Sha
The Journal of Machine Learning Research 16 (1), 3849-3875, 2015
An alternative text representation to TF-IDF and Bag-of-Words
ZE Xu, M Chen, KQ Weinberger, F Sha
ACM International Conference on Information and Knowledge Management, 2012
From sbow to dcot marginalized encoders for text representation
Z Xu, M Chen, KQ Weinberger, F Sha
Proceedings of the 21st ACM international conference on Information and …, 2012
Marginalized stacked denoising autoencoders
M Chen, Z Xu, KQ Weinberger, F Sha
Proceedings of the Learning Workshop, Utah, UT, USA 36, 2012
Anytime representation learning
Z Xu, M Kusner, G Huang, K Weinberger
International Conference on Machine Learning, 1076-1084, 2013
Physicochemical signatures of nanoparticle-dependent complement activation
DG Thomas, S Chikkagoudar, A Heredia-Langner, MF Tardiff, Z Xu, ...
Computational science & discovery 7 (1), 015003, 2014
Rapid feature learning with stacked linear denoisers
ZE Xu, KQ Weinberger, F Sha
arXiv preprint arXiv:1105.0972, 2011
Gradient regularized budgeted boosting
ZE Xu, MJ Kusner, KQ Weinberger, AX Zheng
arXiv preprint arXiv:1901.04065, 2019
Compressed support vector machines
Z Xu, JR Gardner, S Tyree, KQ Weinberger
arXiv preprint arXiv:1501.06478, 2015
Transductive minimax probability machine
G Huang, S Song, ZE Xu, K Weinberger
Joint European conference on machine learning and knowledge discovery in …, 2014
Supervised Machine Learning Under Test-Time Resource Constraints: A Trade-off Between Accuracy and Cost
Z Xu
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