Si Si
Si Si
Google Research
Verifierad e-postadress på google.com
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Bregman divergence-based regularization for transfer subspace learning
S Si, D Tao, B Geng
IEEE Transactions on Knowledge and Data Engineering 22 (7), 929-942, 2009
3562009
Scalable coordinate descent approaches to parallel matrix factorization for recommender systems
HF Yu, CJ Hsieh, S Si, I Dhillon
Data Mining (ICDM), 2012 IEEE 12th International Conference on, 765-774, 2012
2642012
A Divide-and-Conquer Solver for Kernel Support Vector Machines
CJ Hsieh, S Si, IS Dhillon
Proceedings of The 31st International Conference on Machine Learning, 566-574, 2014
1332014
Memory efficient kernel approximation
S Si, CJ Hsieh, IS Dhillon
The Journal of Machine Learning Research 18 (1), 682-713, 2017
1182017
Parallel matrix factorization for recommender systems
HF Yu, CJ Hsieh, S Si, IS Dhillon
Knowledge and Information Systems 41 (3), 793-819, 2014
1152014
Gradient boosted decision trees for high dimensional sparse output
S Si, H Zhang, SS Keerthi, D Mahajan, IS Dhillon, CJ Hsieh
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
482017
Fast prediction for large-scale kernel machines
CJ Hsieh, S Si, IS Dhillon
Advances in Neural Information Processing Systems, 3689-3697, 2014
472014
Goal-directed inductive matrix completion
S Si, KY Chiang, CJ Hsieh, N Rao, IS Dhillon
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
382016
Evolutionary cross-domain discriminative Hessian eigenmaps
S Si, D Tao, KP Chan
IEEE Transactions on Image Processing 19 (4), 1075-1086, 2009
352009
Multi-scale link prediction
D Shin, S Si, IS Dhillon
Proceedings of the 21st ACM international conference on Information and …, 2012
302012
GPU-acceleration for Large-scale Tree Boosting
H Zhang, S Si, CJ Hsieh
arXiv preprint arXiv:1706.08359, 2017
232017
Multi-scale spectral decomposition of massive graphs
S Si, D Shin, IS Dhillon, BN Parlett
Advances in Neural Information Processing Systems, 2798-2806, 2014
182014
Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks
WL Chiang, X Liu, S Si, Y Li, S Bengio, CJ Hsieh
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
122019
Social image annotation via cross-domain subspace learning
S Si, D Tao, M Wang, KP Chan
Multimedia tools and applications 56 (1), 91-108, 2012
122012
Gaternet: Dynamic filter selection in convolutional neural network via a dedicated global gating network
Z Chen, Y Li, S Bengio, S Si
arXiv preprint arXiv:1811.11205, 2018
92018
Distribution calibration in riemannian symmetric space
S Si, W Liu, D Tao, KP Chan
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 41 …, 2011
92011
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise
X Liu, T Xiao, S Si, Q Cao, S Kumar, CJ Hsieh
arXiv preprint arXiv:1906.02355, 2019
82019
You look twice: GaterNet for dynamic filter selection in CNNs
Z Chen, Y Li, S Bengio, S Si
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
62019
Groupreduce: Block-wise low-rank approximation for neural language model shrinking
P Chen, S Si, Y Li, C Chelba, CJ Hsieh
Advances in Neural Information Processing Systems, 10988-10998, 2018
62018
Kernel ridge regression via partitioning
R Tandon, S Si, P Ravikumar, I Dhillon
arXiv preprint arXiv:1608.01976, 2016
62016
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Artiklar 1–20