팔로우
Tianqi Chen
Tianqi Chen
cmu.edu의 이메일 확인됨 - 홈페이지
제목
인용
인용
연도
XGBoost: A scalable tree boosting system
T Chen, C Guestrin
KDD'16, 785-794, 2016
414902016
Empirical evaluation of rectified activations in convolutional network
B Xu, N Wang, T Chen, M Li
arXiv preprint arXiv:1505.00853, 2015
40332015
XGBoost: R-package
T Chen, T He, M Benesty
R package version 0.4-2, 1-4, 2015
3761*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
27692015
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
1991*2018
Stochastic gradient hamiltonian monte carlo
T Chen, E Fox, C Guestrin
International conference on machine learning, 1683-1691, 2014
10422014
Training deep nets with sublinear memory cost
T Chen, B Xu, C Zhang, C Guestrin
arXiv preprint arXiv:1604.06174, 2016
9192016
Net2Net: Accelerating learning via knowledge transfer
T Chen, I Goodfellow, J Shlens
ICLR 2016, 2015
7232015
A complete recipe for stochastic gradient MCMC
YA Ma, T Chen, E Fox
Advances in neural information processing systems 28, 2015
5662015
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
4252018
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
3702012
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
2742012
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
2592013
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
242*2019
Higgs boson discovery with boosted trees
T Chen, T He
Neural Information Processing Systems 2014 Workshop on High-energy Physics …, 2015
2302015
XGBoost: Extreme gradient boosting, 2021
T Chen, T He, M Benesty, V Khotilovich, Y Tang, H Cho, K Chen, ...
R package version 1 (1.1), 2021
1772021
xgboost: extreme gradient boosting. R package version 0.71. 2
T Chen, T He, M Benesty, V Khotilovich, Y Tang, H Cho, K Chen, ...
Grin Verlag: München, Germnay, 2018
1752018
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
1242018
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
84
Dynamic tensor rematerialization
M Kirisame, S Lyubomirsky, A Haan, J Brennan, M He, J Roesch, T Chen, ...
arXiv preprint arXiv:2006.09616, 2020
772020
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