Qiwei Ye
Qiwei Ye
Microsoft Research Asia
Email verificata su microsoft.com
Titolo
Citata da
Citata da
Anno
Lightgbm: A highly efficient gradient boosting decision tree
G Ke, Q Meng, T Finley, T Wang, W Chen, W Ma, Q Ye, TY Liu
Advances in Neural Information Processing Systems, 3146-3154, 2017
18142017
A communication-efficient parallel algorithm for decision tree
Q Meng, G Ke, T Wang, W Chen, Q Ye, ZM Ma, TY Liu
arXiv preprint arXiv:1611.01276, 2016
552016
Implicit causal models for genome-wide association studies
D Tran, DM Blei
arXiv preprint arXiv:1710.10742, 2017
242017
Suphx: Mastering mahjong with deep reinforcement learning
J Li, S Koyamada, Q Ye, G Liu, C Wang, R Yang, L Zhao, T Qin, TY Liu, ...
arXiv preprint arXiv:2003.13590, 2020
132020
-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space
Q Meng, S Zheng, H Zhang, W Chen, ZM Ma, TY Liu
arXiv preprint arXiv:1802.03713, 2018
122018
Beyond exponentially discounted sum: Automatic learning of return function
Y Wang, Q Ye, TY Liu
arXiv preprint arXiv:1905.11591, 2019
32019
Optimizing neural networks in the equivalent class space
Q Meng, W Chen, S Zheng, Q Ye, TY Liu
12018
Optimization of neural network in equivalent class space
W Chen, YE Qiwei, TY Liu, Q Meng
US Patent App. 16/771,609, 2020
2020
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator
Y Song, Q Ye, M Xu, TY Liu
arXiv preprint arXiv:2004.01704, 2020
2020
Asychronous training of machine learning model
T Wang, W Chen, TY Liu, F Gao, YE Qiwei
US Patent App. 16/327,679, 2019
2019
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy
R Yang, Q Ye, TY Liu
arXiv preprint arXiv:1905.11583, 2019
2019
Supplementary Materials for" A Communication-Efficient Parallel Algorithm for Decision Tree
Q Meng, G Ke, T Wang, W Chen, Q Ye, ZM Ma, TY Liu
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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