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All publications by Eric Xing
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Large-scale Distributed Dependent Nonparametric Trees
Zhiting Hu, Ho Qirong, Avinava Dubey and Eric Xing
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM
Xiaojun Chang, Yi Yang, Eric Xing and Yaoliang Yu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


An Adaptive Learning Rate for Stochastic Variational Inference
Rajesh Ranganath, Chong Wang, Blei David and Eric Xing
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Hierarchical Tensor Decomposition of Latent Tree Graphical Models
Le Song, Mariya Ishteva, Ankur Parikh, Eric Xing and Haesun Park
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Markov Network Estimation From Multi-attribute Data
Mladen Kolar, Han Liu and Eric Xing
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Variance Reduction for Stochastic Gradient Optimization
Chong Wang, Xi Chen, Alex Smola and Eric Xing
Advances in Neural Information Processing Systems 26, 2013


A Scalable Approach to Probabilistic Latent Space Inference of Large-Scale Networks
Junming Yin, Qirong Ho and Eric Xing
Advances in Neural Information Processing Systems 26, 2013


More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin K. Kim, Phillip B. Gibbons, Garth A. Gibson, Greg Ganger and Eric Xing
Advances in Neural Information Processing Systems 26, 2013


Restricting exchangeable nonparametric distributions
Sinead A. Williamson, Steve N. Maceachern and Eric Xing
Advances in Neural Information Processing Systems 26, 2013