Prati
Wei Chen (陈薇)
Naslov
Citirano
Citirano
Godina
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
66552017
Asynchronous stochastic gradient descent with delay compensation
S Zheng, Q Meng, T Wang, W Chen, N Yu, ZM Ma, TY Liu
International Conference on Machine Learning, 4120-4129, 2017
2242017
Ranking measures and loss functions in learning to rank
W Chen, TY Liu, Y Lan, ZM Ma, H Li
Advances in Neural Information Processing Systems, 315-323, 2009
2122009
Dual supervised learning
Y Xia, T Qin, W Chen, J Bian, N Yu, TY Liu
arXiv preprint arXiv:1707.00415, 2017
1422017
R-Drop: Regularized Dropout for Neural Networks
L Wu, J Li, Y Wang, Q Meng, T Qin, W Chen, M Zhang, TY Liu
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
1372021
On the depth of deep neural networks: A theoretical view
S Sun, W Chen, L Wang, X Liu, TY Liu
arXiv preprint arXiv:1506.05232, 2015
1312015
A communication-efficient parallel algorithm for decision tree
Q Meng, G Ke, T Wang, W Chen, Q Ye, ZM Ma, TY Liu
Advances in Neural Information Processing Systems, 1279-1287, 2016
1102016
Convergence analysis of distributed stochastic gradient descent with shuffling
Q Meng, W Chen, Y Wang, ZM Ma, TY Liu
Neurocomputing 337, 46-57, 2019
962019
Efficient inexact proximal gradient algorithm for nonconvex problems
Q Yao, JT Kwok, F Gao, W Chen, TY Liu
arXiv preprint arXiv:1612.09069, 2016
612016
Towards binary-valued gates for robust lstm training
Z Li, D He, F Tian, W Chen, T Qin, L Wang, TY Liu
arXiv preprint arXiv:1806.02988, 2018
522018
Sponsored search auctions: Recent advances and future directions
T Qin, W Chen, TY Liu
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (4), 1-34, 2015
522015
A game-theoretic machine learning approach for revenue maximization in sponsored search
D He, W Chen, L Wang, TY Liu
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
512013
Do not let privacy overbill utility: Gradient embedding perturbation for private learning
D Yu, H Zhang, W Chen, TY Liu
arXiv preprint arXiv:2102.12677, 2021
402021
Finite sample analysis of the GTD policy evaluation algorithms in Markov setting
Y Wang, W Chen, Y Liu, ZM Ma, TY Liu
Advances in Neural Information Processing Systems, 5504-5513, 2017
382017
Learning Causal Semantic Representation for Out-of-Distribution Prediction
C Liu, X Sun, J Wang, H Tang, T Li, T Qin, W Chen, TY Liu
Advances in Neural Information Processing Systems 34, 2021
37*2021
Asynchronous stochastic gradient descent with delay compensation for distributed deep learning
S Zheng, Q Meng, T Wang, W Chen, N Yu, Z Ma, TY Liu
arXiv preprint arXiv:1609.08326, 2016
362016
Ensemble-compression: A new method for parallel training of deep neural networks
S Sun, W Chen, J Bian, X Liu, TY Liu
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
302017
Target transfer q-learning and its convergence analysis
Y Wang, Y Liu, W Chen, ZM Ma, TY Liu
Neurocomputing, 2020
262020
Gradient Perturbation is Underrated for Differentially Private Convex Optimization
D Yu, H Zhang, W Chen, TY Liu, J Yin
arXiv preprint arXiv:1911.11363, 2019
252019
Large Scale Private Learning via Low-rank Reparametrization
D Yu, H Zhang, W Chen, J Yin, TY Liu
arXiv preprint arXiv:2106.09352, 2021
242021
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