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Minmin Chen
Minmin Chen
Research scientist, Google Deepmind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Marginalized denoising auto-encoders for nonlinear representations
M Chen, K Weinberger, F Sha, Y Bengio
International conference on machine learning, 1476-1484, 2014
10962014
Co-training for domain adaptation
M Chen, KQ Weinberger, J Blitzer
Advances in neural information processing systems 24, 2011
5122011
Top-k off-policy correction for a REINFORCE recommender system
M Chen, A Beutel, P Covington, S Jain, F Belletti, EH Chi
Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019
4782019
Fast image tagging
M Chen, A Zheng, K Weinberger
International conference on machine learning, 1274-1282, 2013
2842013
AntisymmetricRNN: A dynamical system view on recurrent neural networks
B Chang, M Chen, E Haber, EH Chi
arXiv preprint arXiv:1902.09689, 2019
2412019
Learning with marginalized corrupted features
L Maaten, M Chen, S Tyree, K Weinberger
International Conference on Machine Learning, 410-418, 2013
2012013
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
1682024
Efficient vector representation for documents through corruption
M Chen
arXiv preprint arXiv:1707.02377, 2017
1642017
Cost-sensitive tree of classifiers
Z Xu, M Kusner, K Weinberger, M Chen
International conference on machine learning, 133-141, 2013
1492013
Dynamical isometry and a mean field theory of RNNs: Gating enables signal propagation in recurrent neural networks
M Chen, J Pennington, S Schoenholz
International Conference on Machine Learning, 873-882, 2018
1282018
Automatic Feature Decomposition for Single View Co-training.
M Chen, KQ Weinberger, Y Chen
ICML 2 (3), 5, 2011
1242011
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
1082014
Classifier cascade for minimizing feature evaluation cost
M Chen, Z Xu, K Weinberger, O Chapelle, D Kedem
Artificial Intelligence and Statistics, 218-226, 2012
101*2012
Off-policy learning in two-stage recommender systems
J Ma, Z Zhao, X Yi, J Yang, M Chen, J Tang, L Hong, EH Chi
Proceedings of The Web Conference 2020, 463-473, 2020
942020
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
902012
Towards neural mixture recommender for long range dependent user sequences
J Tang, F Belletti, S Jain, M Chen, A Beutel, C Xu, E H. Chi
The World Wide Web Conference, 1782-1793, 2019
872019
Medical data mining for early deterioration warning in general hospital wards
Y Mao, Y Chen, G Hackmann, M Chen, C Lu, M Kollef, TC Bailey
2011 IEEE 11th International Conference on Data Mining Workshops, 1042-1049, 2011
662011
Marginalizing stacked linear denoising autoencoders
M Chen, KQ Weinberger, Z Xu, F Sha
The Journal of Machine Learning Research 16 (1), 3849-3875, 2015
522015
User response models to improve a reinforce recommender system
M Chen, B Chang, C Xu, EH Chi
Proceedings of the 14th ACM international conference on web search and data …, 2021
492021
Surrogate for long-term user experience in recommender systems
Y Wang, M Sharma, C Xu, S Badam, Q Sun, L Richardson, L Chung, ...
Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022
472022
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