Seuraa
Si Si
Si Si
Google Research
Vahvistettu sähköpostiosoite verkkotunnuksessa google.com
Nimike
Viittaukset
Viittaukset
Vuosi
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
5532019
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
4612009
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
3102012
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
1922014
Memory efficient kernel approximation
S Si, CJ Hsieh, I Dhillon
International Conference on Machine Learning, 701-709, 2014
1722014
Parallel matrix factorization for recommender systems
HF Yu, CJ Hsieh, S Si, IS Dhillon
Knowledge and Information Systems 41 (3), 793-819, 2014
1592014
Gradient boosted decision trees for high dimensional sparse output
S Si, H Zhang, SS Keerthi, D Mahajan, IS Dhillon, CJ Hsieh
International conference on machine learning, 3182-3190, 2017
1112017
Fast prediction for large-scale kernel machines
CJ Hsieh, S Si, IS Dhillon
Advances in Neural Information Processing Systems 27, 2014
672014
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
552016
You look twice: Gaternet for dynamic filter selection in cnns
Z Chen, Y Li, S Bengio, S Si
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
522019
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
472019
A unified framework for data poisoning attack to graph-based semi-supervised learning
X Liu, S Si, X Zhu, Y Li, CJ Hsieh
arXiv preprint arXiv:1910.14147, 2019
442019
Robustness verification of tree-based models
H Chen, H Zhang, S Si, Y Li, D Boning, CJ Hsieh
Advances in Neural Information Processing Systems 32, 2019
442019
GPU-acceleration for Large-scale Tree Boosting
H Zhang, S Si, CJ Hsieh
arXiv preprint arXiv:1706.08359, 2017
432017
Multi-scale link prediction
D Shin, S Si, IS Dhillon
Proceedings of the 21st ACM international conference on Information and …, 2012
372012
Evolutionary cross-domain discriminative Hessian eigenmaps
S Si, D Tao, KP Chan
IEEE Transactions on Image Processing 19 (4), 1075-1086, 2009
362009
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 31, 2018
332018
Multi-scale spectral decomposition of massive graphs
S Si, D Shin, IS Dhillon, BN Parlett
Advances in Neural Information Processing Systems 27, 2014
202014
How does noise help robustness? explanation and exploration under the neural sde framework
X Liu, T Xiao, S Si, Q Cao, S Kumar, CJ Hsieh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
192020
Area attention
Y Li, L Kaiser, S Bengio, S Si
International Conference on Machine Learning, 3846-3855, 2019
192019
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Artikkelit 1–20