Xun Zheng – Publications

SimClusters: Community-Based Representations for Heterogeneous Recommendations at Twitter
Venu Satuluri, Yao Wu, Xun Zheng, Yilei Qian, Brian Wichers, Qieyun Dai, Gui Ming Tang, Jerry Jiang and Jimmy Lin
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2020)
[github]

Learning Sparse Nonparametric DAGs
Xun Zheng, Chen Dan, Bryon Aragam, Pradeep Ravikumar, Eric Xing
International Conference on Artificial Intelligence and Statistics (AISTATS 2020)
[arxiv]

DAGs with NO TEARS: Continuous Optimization for Structure Learning
Xun Zheng, Bryon Aragam, Pradeep Ravikumar, Eric Xing
Advances in Neural Information Processing Systems (NeurIPS 2018) (Spotlight)
[arxiv] [github] [slides]

State Space LSTM Models with Particle MCMC Inference
Xun Zheng, Manzil Zaheer, Amr Ahmed, Yuan Wang, Eric Xing, Alex Smola
Second workshop on Bayesian Deep Learning (NIPS 2017)
[arxiv]

STRADS: A Distributed Framework for Scheduled Model Parallel Machine Learning
Jin Kyu Kim, Qirong Ho, Seunghak Lee, Xun Zheng, Wei Dai, Garth Gibson, Eric Xing
Proceedings of the Eleventh European Conference on Computer Systems (EuroSys 2016)
[paper]

Linear Time Samplers for Supervised Topic Models using Compositional Proposals
Xun Zheng, Yaoliang Yu, Eric Xing
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015)
[paper]

Minimizing Nonconvex Non-Separable Functions
Yaoliang Yu, Xun Zheng, Micol Marchetti-Bowick, Eric Xing
International Conference on Artificial Intelligence and Statistics (AISTATS 2015)
[paper]

LightLDA: Big Topic Models on Modest Compute Clusters
Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Xing, Tie-Yan Liu, Wei-Ying Ma
International Conference on World Wide Web (WWW 2015)
[paper] [github]

On Model Parallelization and Scheduling Strategies for Distributed Machine Learning
Seunghak Lee, Jin Kyu Kim, Xun Zheng, Qirong Ho, Garth Gibson, Eric Xing
Advances in Neural Information Processing Systems (NIPS 2014)
[paper]

Scalable Inference in Max-margin Topic Models
Jun Zhu, Xun Zheng, Li Zhou, Bo Zhang
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2013)
[paper]

Scalable Inference for Logistic-Normal Topic Models
Jianfei Chen, Jun Zhu, Zi Wang, Xun Zheng, Bo Zhang
Advances in Neural Information Processing Systems (NIPS 2013)
[paper] [github] [demo]