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Wenlin Chen
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Compressing neural networks with the hashing trick
Wenlin Chen, James Wilson, Stephen Tyree, Kilian Weinberger, Yixin Chen
Proceedings of The 32nd International Conference on Machine Learning (ICML), 2015
1412*2015
Multi-scale convolutional neural networks for time series classification
Z Cui, W Chen, Y Chen
arXiv preprint arXiv:1603.06995, 2016
7682016
Deep Learning Recommendation Model for Personalization and Recommendation Systems
Arxiv, 2019
663*2019
Strategies for training large vocabulary neural language models
W Chen, D Grangier, M Auli
arXiv preprint arXiv:1512.04906, 2015
1892015
Optimal action extraction for random forests and boosted trees
Z Cui, W Chen, Y He, Y Chen
Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015
1442015
Compressing convolutional neural networks in the frequency domain
W Chen, J Wilson, S Tyree, KQ Weinberger, Y Chen
Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016
1372016
An integrated data mining approach to real-time clinical monitoring and deterioration warning
Y Mao, W Chen, Y Chen, C Lu, M Kollef, T Bailey
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
1042012
Fast distributed k-center clustering with outliers on massive data
G Malkomes, MJ Kusner, W Chen, KQ Weinberger, B Moseley
Advances in Neural Information Processing Systems 28, 2015
952015
Compressing convolutional neural networks
W Chen, JT Wilson, S Tyree, KQ Weinberger, Y Chen
arXiv preprint arXiv:1506.04449, 2015
732015
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
632014
A reduction of the elastic net to support vector machines with an application to GPU computing
Q Zhou, W Chen, S Song, J Gardner, K Weinberger, Y Chen
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
602015
Kernel density metric learning
Y He, W Chen, Y Chen, Y Mao
2013 IEEE 13th international conference on data mining, 271-280, 2013
372013
Density-based logistic regression
W Chen, Y Chen, Y Mao, B Guo
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
362013
Deep learning recommendation model for personalization and recommendation systems. CoRR abs/1906.00091 (2019)
M Naumov, D Mudigere, HJM Shi, J Huang, N Sundaraman, J Park, ...
URL: https://arxiv. org/abs/1906 91, 1906
351906
Fast flux discriminant for large-scale sparse nonlinear classification
W Chen, Y Chen, KQ Weinberger
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
232014
Nonlinear metric learning with kernel density estimation
Y He, Y Mao, W Chen, Y Chen
IEEE Transactions on Knowledge and Data Engineering 27 (6), 1602-1614, 2014
222014
Deep metric learning with data summarization
W Wang, C Chen, W Chen, P Rai, L Carin
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2016
192016
Maximum variance correction with application to A* search
W Chen, K Weinberger, Y Chen
International Conference on Machine Learning, 302-310, 2013
192013
Mortality prediction in icus using a novel time-slicing cox regression method
Y Wang, W Chen, K Heard, MH Kollef, TC Bailey, Z Cui, Y He, C Lu, ...
AMIA Annual Symposium Proceedings 2015, 1289, 2015
182015
Filtered search for submodular maximization with controllable approximation bounds
W Chen, Y Chen, K Weinberger
Artificial Intelligence and Statistics, 156-164, 2015
172015
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