关注
Tianqi Chen
Tianqi Chen
在 cmu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
XGBoost: A scalable tree boosting system
T Chen, C Guestrin
KDD'16, 785-794, 2016
404252016
Empirical evaluation of rectified activations in convolutional network
B Xu, N Wang, T Chen, M Li
arXiv preprint arXiv:1505.00853, 2015
39932015
XGBoost: R-package
T Chen, T He, M Benesty
R package version 0.4-2, 1-4, 2015
3845*2015
MXNet: A flexible and efficient machine learning library for heterogeneous distributed systems
T Chen, M Li, Y Li, M Lin, N Wang, M Wang, T Xiao, B Xu, C Zhang, ...
LearningSys Workshop at Neural Information Processing Systems 2015, 2015
27612015
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
T Chen, T Moreau, Z Jiang, L Zheng, E Yan, M Cowan, H Shen, L Wang, ...
OSDI 2018, 2018
1957*2018
Stochastic gradient hamiltonian monte carlo
T Chen, E Fox, C Guestrin
International conference on machine learning, 1683-1691, 2014
10282014
Training deep nets with sublinear memory cost
T Chen, B Xu, C Zhang, C Guestrin
arXiv preprint arXiv:1604.06174, 2016
8952016
Net2Net: Accelerating learning via knowledge transfer
T Chen, I Goodfellow, J Shlens
ICLR 2016, 2015
7172015
A complete recipe for stochastic gradient MCMC
YA Ma, T Chen, E Fox
Advances in neural information processing systems 28, 2015
5612015
Learning to Optimize Tensor Programs
T Chen, L Zheng, E Yan, Z Jiang, T Moreau, L Ceze, C Guestrin, ...
Neural Information Processing Systems 2018, 2018
4172018
Collaborative personalized tweet recommendation
K Chen, T Chen, G Zheng, O Jin, E Yao, Y Yu
Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012
3742012
SVDFeature: a toolkit for feature-based collaborative filtering
T Chen, W Zhang, Q Lu, K Chen, Z Zheng, Y Yu
The Journal of Machine Learning Research 13 (1), 3619-3622, 2012
2722012
Optimizing top-n collaborative filtering via dynamic negative item sampling
W Zhang, T Chen, J Wang, Y Yu
Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013
2562013
A hardware–software blueprint for flexible deep learning specialization
T Moreau, T Chen, L Vega, J Roesch, E Yan, L Zheng, J Fromm, Z Jiang, ...
IEEE Micro 39 (5), 8-16, 2019
235*2019
Higgs boson discovery with boosted trees
T Chen, T He
Neural Information Processing Systems 2014 Workshop on High-energy Physics …, 2015
2262015
Relay: A new ir for machine learning frameworks
J Roesch, S Lyubomirsky, L Weber, J Pollock, M Kirisame, T Chen, ...
Proceedings of the 2nd ACM SIGPLAN international workshop on machine …, 2018
1212018
Xgboost: extreme gradient boosting. R package version 1.6. 0.1
T Chen, T He, M Benesty, V Khotilovich, Y Tang, H Cho, K Chen, ...
812022
General functional matrix factorization using gradient boosting
T Chen, H Li, Q Yang, Y Yu
International Conference on Machine Learning, 436-444, 2013
752013
Dynamic tensor rematerialization
M Kirisame, S Lyubomirsky, A Haan, J Brennan, M He, J Roesch, T Chen, ...
arXiv preprint arXiv:2006.09616, 2020
742020
Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems. arXiv 2015
T Chen, M Li, Y Li, M Lin, N Wang, M Wang, T Xiao, B Xu, C Zhang, ...
arXiv preprint arXiv:1512.01274, 0
74
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