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    Author information
    First name: Pengtao
    Last name: Xie
    DBLP: 133/1998
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    Journal article
    Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing.
    Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing.
    Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
    2017 USENIX Annual Technical Conference, USENIX ATC 2017, Santa Clara, CA, USA, July 12-14, 2017. 2017 (0) 2017
    Conference paper
    Pengtao Xie, Aarti Singh, Eric P. Xing.
    Uncorrelation and Evenness: a New Diversity-Promoting Regularizer.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
    Conference paper
    Pengtao Xie, Yuntian Deng, Yi Zhou, Abhimanu Kumar, Yaoliang Yu, James Zou, Eric P. Xing.
    Learning Latent Space Models with Angular Constraints.
    Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017 2017 (0) 2017
    Conference paper
    Pengtao Xie, Eric P. Xing.
    A Constituent-Centric Neural Architecture for Reading Comprehension.
    Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers 2017 (0) 2017
    Conference paper
    Jianxin Li, Haoyi Zhou, Pengtao Xie, Yingchun Zhang.
    Improving the Generalization Performance of Multi-class SVM via Angular Regularization.
    Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, Melbourne, Australia, August 19-25, 2017 2017 (0) 2017
    Conference paper
    Pengtao Xie, Barnabás Póczos, Eric P. Xing.
    Near-Orthogonality Regularization in Kernel Methods.
    Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, UAI 2017, Sydney, Australia, August 11-15, 2017 2017 (0) 2017
    Conference paper
    Pengtao Xie, Jun Zhu, Eric P. Xing.
    Diversity-Promoting Bayesian Learning of Latent Variable Models.
    Proceedings of the 33nd International Conference on Machine Learning, ICML 2016, New York City, NY, USA, June 19-24, 2016 2016 (0) 2016
    Conference paper
    Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing.
    Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.
    Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, UAI 2016, June 25-29, 2016, New York City, NY, USA 2016 (0) 2016
    Conference paper
    Pengtao Xie, Yulong Pei, Yuan Xie, Eric P. Xing.
    Mining User Interests from Personal Photos.
    Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. 2015 (0) 2015
    Conference paper
    Pengtao Xie, Eric P. Xing.
    Integrating Image Clustering and Codebook Learning.
    Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. 2015 (0) 2015
    Conference paper
    Pengtao Xie, Diyi Yang, Eric P. Xing.
    Incorporating Word Correlation Knowledge into Topic Modeling.
    NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31 - June 5, 2015 2015 (0) 2015
    Conference paper
    Pengtao Xie, Yuntian Deng, Eric P. Xing.
    Diversifying Restricted Boltzmann Machine for Document Modeling.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Conference paper
    Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu.
    Petuum: A New Platform for Distributed Machine Learning on Big Data.
    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Sydney, NSW, Australia, August 10-13, 2015 2015 (0) 2015
    Conference paper
    Pengtao Xie.
    Learning Compact and Effective Distance Metrics with Diversity Regularization.
    Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I 2015 (0) 2015
    Conference paper
    Pengtao Xie, Jin Kyu Kim, Yi Zhou, Qirong Ho, Abhimanu Kumar, Yaoliang Yu, Eric P. Xing.
    Distributed Machine Learning via Sufficient Factor Broadcasting.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Pengtao Xie, Yuntian Deng, Eric P. Xing.
    On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu.
    Petuum: A New Platform for Distributed Machine Learning on Big Data.
    T. Big Data 2015, Volume 1 (0) 2015
    Conference paper
    Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing.
    Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Eric P. Xing, Qirong Ho, Pengtao Xie, Wei Dai.
    Strategies and Principles of Distributed Machine Learning on Big Data.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Pengtao Xie, Yuntian Deng, Eric P. Xing.
    Latent Variable Modeling with Diversity-Inducing Mutual Angular Regularization.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Pengtao Xie, Jin Kyu Kim, Eric P. Xing.
    Large Scale Distributed Multiclass Logistic Regression.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Pengtao Xie, Eric P. Xing.
    CryptGraph: Privacy Preserving Graph Analytics on Encrypted Graph.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Pengtao Xie, Eric P. Xing.
    Cauchy Principal Component Analysis.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Pengtao Xie, Eric P. Xing.
    Large Scale Distributed Distance Metric Learning.
    CoRR 2014, Volume 0 (0) 2014
    Journal article
    Pengtao Xie, Mikhail Bilenko, Tom Finley, Ran Gilad-Bachrach, Kristin E. Lauter, Michael Naehrig.
    Crypto-Nets: Neural Networks over Encrypted Data.
    CoRR 2014, Volume 0 (0) 2014
    Conference paper
    Pengtao Xie, Eric P. Xing.
    Multi-Modal Distance Metric Learning.
    IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013 2013 (0) 2013
    Journal article
    Pengtao Xie, Eric P. Xing.
    Integrating Document Clustering and Topic Modeling.
    CoRR 2013, Volume 0 (0) 2013
    Conference paper
    Pengtao Xie, Eric P. Xing.
    Integrating Document Clustering and Topic Modeling.
    Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, UAI 2013, Bellevue, WA, USA, August 11-15, 2013 2013 (0) 2013
    Show item 1 to 29 of 29  

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