Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Dengyong Zhou

Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision

Feb 24, 2020
Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu

  Access Paper or Ask Questions

Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation

Oct 16, 2019
Ziyang Tang, Yihao Feng, Lihong Li, Dengyong Zhou, Qiang Liu

  Access Paper or Ask Questions

Neural Phrase-to-Phrase Machine Translation

Nov 06, 2018
Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou

  Access Paper or Ask Questions

Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation

Oct 29, 2018
Qiang Liu, Lihong Li, Ziyang Tang, Dengyong Zhou

* 21 pages, 5 figures, NIPS 2018 (spotlight) 

  Access Paper or Ask Questions

Towards Neural Phrase-based Machine Translation

Sep 24, 2018
Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng

* in International Conference on Learning Representations (ICLR) 2018 

  Access Paper or Ask Questions

Sequence Modeling via Segmentations

Jul 18, 2018
Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng

* recurrent neural networks, dynamic programming, structured prediction 

  Access Paper or Ask Questions

On the Discrimination-Generalization Tradeoff in GANs

Feb 23, 2018
Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He

* ICLR 2018 

  Access Paper or Ask Questions

Action-depedent Control Variates for Policy Optimization via Stein's Identity

Feb 23, 2018
Hao Liu, Yihao Feng, Yi Mao, Dengyong Zhou, Jian Peng, Qiang Liu

* The first two authors contributed equally. Author ordering determined by coin flip over a Google Hangout. Accepted by ICLR 2018 

  Access Paper or Ask Questions

Provably Optimal Algorithms for Generalized Linear Contextual Bandits

Jun 18, 2017
Lihong Li, Yu Lu, Dengyong Zhou

* Published at ICML 2017 

  Access Paper or Ask Questions

Stochastic Variance Reduction Methods for Policy Evaluation

Jun 09, 2017
Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou

* Accepted by ICML 2017 

  Access Paper or Ask Questions

Neuro-Symbolic Program Synthesis

Nov 06, 2016
Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, Pushmeet Kohli

  Access Paper or Ask Questions

Minimax Optimal Convergence Rates for Estimating Ground Truth from Crowdsourced Labels

May 30, 2016
Chao Gao, Dengyong Zhou

  Access Paper or Ask Questions

Exact Exponent in Optimal Rates for Crowdsourcing

May 26, 2016
Chao Gao, Yu Lu, Dengyong Zhou

* To appear in the Proceedings of the 33rd International Conference on Machine Learning, New York, NY, USA, 2016 

  Access Paper or Ask Questions

Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing

Dec 16, 2015
Nihar B. Shah, Dengyong Zhou

  Access Paper or Ask Questions

Approval Voting and Incentives in Crowdsourcing

Sep 07, 2015
Nihar B. Shah, Dengyong Zhou, Yuval Peres

  Access Paper or Ask Questions

Regularized Minimax Conditional Entropy for Crowdsourcing

Mar 25, 2015
Dengyong Zhou, Qiang Liu, John C. Platt, Christopher Meek, Nihar B. Shah

* 31 pages 

  Access Paper or Ask Questions

On the Impossibility of Convex Inference in Human Computation

Nov 21, 2014
Nihar B. Shah, Dengyong Zhou

* AAAI 2015 

  Access Paper or Ask Questions

Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing

Nov 01, 2014
Yuchen Zhang, Xi Chen, Dengyong Zhou, Michael I. Jordan

  Access Paper or Ask Questions

Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling

Apr 24, 2014
Xi Chen, Qihang Lin, Dengyong Zhou

* 39 pages 

  Access Paper or Ask Questions

Error Rate Bounds in Crowdsourcing Models

Jul 10, 2013
Hongwei Li, Bin Yu, Dengyong Zhou

* 13 pages, 3 figures, downloadable supplementary files 

  Access Paper or Ask Questions