Xun Zheng
Xun Zheng
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DAGs with no tears: Continuous optimization for structure learning
X Zheng, B Aragam, PK Ravikumar, EP Xing
Advances in Neural Information Processing Systems, 9472-9483, 2018
Learning Sparse Nonparametric DAGs
X Zheng, C Dan, B Aragam, P Ravikumar, E Xing
International Conference on Artificial Intelligence and Statistics, 3414-3425, 2020
Lightlda: Big topic models on modest computer clusters
J Yuan, F Gao, Q Ho, W Dai, J Wei, X Zheng, EP Xing, TY Liu, WY Ma
Proceedings of the 24th International Conference on World Wide Web, 1351-1361, 2015
On model parallelization and scheduling strategies for distributed machine learning
S Lee, JK Kim, X Zheng, Q Ho, GA Gibson, EP Xing
Advances in neural information processing systems, 2834-2842, 2014
STRADS: a distributed framework for scheduled model parallel machine learning
JK Kim, Q Ho, S Lee, X Zheng, W Dai, GA Gibson, EP Xing
Proceedings of the Eleventh European Conference on Computer Systems, 1-16, 2016
Scalable inference for logistic-normal topic models
J Chen, J Zhu, Z Wang, X Zheng, B Zhang
Advances in Neural Information Processing Systems, 2445-2453, 2013
State space LSTM models with particle MCMC inference
X Zheng, M Zaheer, A Ahmed, Y Wang, EP Xing, AJ Smola
arXiv preprint arXiv:1711.11179, 2017
SimClusters: Community-Based Representations for Heterogeneous Recommendations at Twitter
V Satuluri, Y Wu, X Zheng, Y Qian, B Wichers, Q Dai, GM Tang, J Jiang, ...
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
Minimizing nonconvex non-separable functions
Y Yu, X Zheng, M Marchetti-Bowick, E Xing
Artificial Intelligence and Statistics, 1107-1115, 2015
Scalable inference in max-margin topic models
J Zhu, X Zheng, L Zhou, B Zhang
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
Linear time samplers for supervised topic models using compositional proposals
X Zheng, Y Yu, EP Xing
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
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