| Gradient regularized budgeted boosting ZE Xu, MJ Kusner, KQ Weinberger, AX Zheng arXiv preprint arXiv:1901.04065, 2019 | 6 | 2019 |
| Compressed support vector machines Z Xu, JR Gardner, S Tyree, KQ Weinberger arXiv preprint arXiv:1501.06478, 2015 | 4 | 2015 |
| Marginalizing stacked linear denoising autoencoders M Chen, KQ Weinberger, Z Xu, F Sha The Journal of Machine Learning Research 16 (1), 3849-3875, 2015 | 52 | 2015 |
| Gradient boosted feature selection Z Xu, G Huang, KQ Weinberger, AX Zheng Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 181 | 2014 |
| Bayesian optimization with inequality constraints. JR Gardner, MJ Kusner, ZE Xu, KQ Weinberger, JP Cunningham ICML 2014, 937-945, 2014 | 560 | 2014 |
| 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 | 63 | 2014 |
| 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 | 12 | 2014 |
| Supervised Machine Learning Under Test-Time Resource Constraints: A Trade-off Between Accuracy and Cost ZE Xu Washington University in St. Louis, 2014 | 2 | 2014 |
| Transductive minimax probability machine G Huang, S Song, Z Xu, K Weinberger Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 6 | 2014 |
| 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 | 109 | 2014 |
| Anytime representation learning Z Xu, M Kusner, G Huang, K Weinberger International Conference on Machine Learning, 1076-1084, 2013 | 17 | 2013 |
| Cost-sensitive tree of classifiers Z Xu, M Kusner, K Weinberger, M Chen International conference on machine learning, 133-141, 2013 | 149 | 2013 |
| 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 | 28 | 2012 |
| 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 | 34* | 2012 |
| Distance metric learning for kernel machines Z Xu, KQ Weinberger, O Chapelle arXiv preprint arXiv:1208.3422, 2012 | 62 | 2012 |
| F. Sha. Marginalized denoising autoencoders for domain adaptation M Chen, Z Xu, K Weinberger Proceedings of the 29th International Conference on Machine Learning, 767-774, 2012 | 91 | 2012 |
| The greedy miser: Learning under test-time budgets Z Xu, K Weinberger, O Chapelle arXiv preprint arXiv:1206.6451, 2012 | 150 | 2012 |
| Fei Sha M Chen, Z Xu, K Weinberger Marginalized denoising autoencoders for domain adaptation. ICML 2, 2012 | 11 | 2012 |
| 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 | 101* | 2012 |
| Marginalized stacked denoising autoencoders M Chen, Z Xu, KQ Weinberger, F Sha Proceedings of the learning workshop, Utah, UT, USA 36, 2012 | 27 | 2012 |
Minmin ChenResearch scientist, Google DeepmindVerified email at google.com
