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Wei Chen (陈薇)
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Cited by
Year
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 30, 2017
125052017
A theoretical analysis of NDCG type ranking measures
Y Wang, L Wang, Y Li, D He, W Chen, TY Liu
Conference on learning theory, 25-54, 2013
6842013
Lightgbm: A highly efficient gradient boosting decision tree
QM GuolinKe, T Finley, T Wang, W Chen, W Ma, Q Ye, TY Liu
Adv. Neural Inf. Process. Syst 30, 52, 2017
5052017
R-drop: Regularized dropout for neural networks
L Wu, J Li, Y Wang, Q Meng, T Qin, W Chen, M Zhang, TY Liu
Advances in Neural Information Processing Systems 34, 10890-10905, 2021
3862021
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
3102017
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 22, 2009
2732009
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
1792015
Dual supervised learning
Y Xia, T Qin, W Chen, J Bian, N Yu, TY Liu
International conference on machine learning, 3789-3798, 2017
1752017
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 29, 2016
1532016
Convergence analysis of distributed stochastic gradient descent with shuffling
Q Meng, W Chen, Y Wang, ZM Ma, TY Liu
Neurocomputing 337, 46-57, 2019
1422019
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, 6155-6170, 2021
111*2021
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
952021
Priorgrad: Improving conditional denoising diffusion models with data-dependent adaptive prior
S Lee, H Kim, C Shin, X Tan, C Liu, Q Meng, T Qin, W Chen, S Yoon, ...
arXiv preprint arXiv:2106.06406, 2021
912021
Large scale private learning via low-rank reparametrization
D Yu, H Zhang, W Chen, J Yin, TY Liu
International Conference on Machine Learning, 12208-12218, 2021
822021
Efficient inexact proximal gradient algorithm for nonconvex problems
Q Yao, JT Kwok, F Gao, W Chen, TY Liu
arXiv preprint arXiv:1612.09069, 2016
742016
Asychronous training of machine learning model
T Wang, W Chen, TY Liu, F Gao, YE Qiwei
US Patent App. 16/327,679, 2019
722019
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
622015
Towards binary-valued gates for robust lstm training
Z Li, D He, F Tian, W Chen, T Qin, L Wang, T Liu
International Conference on Machine Learning, 2995-3004, 2018
582018
A game-theoretic machine learning approach for revenue maximization in sponsored search
D He, W Chen, L Wang, TY Liu
arXiv preprint arXiv:1406.0728, 2014
552014
Target transfer Q-learning and its convergence analysis
Y Wang, Y Liu, W Chen, ZM Ma, TY Liu
Neurocomputing 392, 11-22, 2020
542020
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