Tianqi Chen
Tianqi Chen
在 cmu.edu 的电子邮件经过验证 - 首页
XGBoost: A scalable tree boosting system
T Chen, C Guestrin
KDD'16, 785-794, 2016
Empirical evaluation of rectified activations in convolutional network
B Xu, N Wang, T Chen, M Li
arXiv preprint arXiv:1505.00853, 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
XGBoost: R-package
T Chen, T He, M Benesty
R package version 0.4-2, 1-4, 2015
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
T Chen, T Moreau, Z Jiang, H Shen, E Yan, L Wang, Y Hu, L Ceze, ...
OSDI 2018, 2018
Stochastic gradient hamiltonian monte carlo
T Chen, E Fox, C Guestrin
International conference on machine learning, 1683-1691, 2014
Net2Net: Accelerating learning via knowledge transfer
T Chen, I Goodfellow, J Shlens
ICLR 2016, 2015
A complete recipe for stochastic gradient MCMC
YA Ma, T Chen, EB Fox
arXiv preprint arXiv:1506.04696, 2015
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
Training deep nets with sublinear memory cost
T Chen, B Xu, C Zhang, C Guestrin
arXiv preprint arXiv:1604.06174, 2016
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
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
Higgs boson discovery with boosted trees
T Chen, T He
Neural Information Processing Systems 2014 Workshop on High-energy Physics …, 2015
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
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
General functional matrix factorization using gradient boosting
T Chen, H Li, Q Yang, Y Yu
International Conference on Machine Learning, 436-444, 2013
Feature-based matrix factorization
T Chen, Z Zheng, Q Lu, W Zhang, Y Yu
arXiv preprint arXiv:1109.2271, 2011
xgboost: Extreme Gradient Boosting (2017)
T Chen, T He, M Benesty, V Khotilovich, Y Tang, H Cho, K Chen, ...
R package version 0.6-4, 2015
Local implicit feedback mining for music recommendation
D Yang, T Chen, W Zhang, Q Lu, Y Yu
Proceedings of the sixth ACM conference on Recommender systems, 91-98, 2012
Combining factorization model and additive forest for collaborative followee recommendation
T Chen, L Tang, Q Liu, D Yang, S Xie, X Cao, C Wu, E Yao, Z Liu, Z Jiang, ...
KDD CUP, 2012
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