Xun Zheng
Xun Zheng
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
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
1602015
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
862014
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
702013
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, 5, 2016
532016
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
232018
Minimizing nonconvex non-separable functions
Y Yu, X Zheng, M Marchetti-Bowick, E Xing
Artificial Intelligence and Statistics, 1107-1115, 2015
212015
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
172013
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
152017
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
52015
Learning Sparse Nonparametric DAGs
X Zheng, C Dan, B Aragam, P Ravikumar, EP Xing
arXiv preprint arXiv:1909.13189, 2019
2019
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Articles 1–10