Shusen Wang
Shusen Wang
Verified email at stevens.edu - Homepage
TitleCited byYear
Improving CUR matrix decomposition and the Nyström approximation via adaptive sampling
S Wang, Z Zhang
The Journal of Machine Learning Research 14 (1), 2729-2769, 2013
1192013
Efficient subspace segmentation via quadratic programming
S Wang, X Yuan, T Yao, S Yan, J Shen
In the 24th AAAI Conference on Artificial Intelligence (AAAI) 1, 519-524, 2011
642011
Nonconvex Relaxation Approaches to Robust Matrix Recovery
S Wang, D Liu, Z Zhang
International Joint Conference on Artificial Intelligence (IJCAI), 2013
532013
EP-GIG priors and applications in Bayesian sparse learning
Z Zhang, S Wang, D Liu, MI Jordan
Journal of Machine Learning Research 13 (Jun), 2031-2061, 2012
292012
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions
S Wang, L Luo, Z Zhang
Journal of Machine Learning Research 17 (49), 1−49, 2016
27*2016
Colorization by Matrix Completion
S Wang, Z Zhang
In the 25th AAAI Conference on Artificial Intelligence (AAAI-2011), 519-524, 2012
252012
Efficient Algorithms and Error Analysis for the Modified Nystrom Method
S Wang, Z Zhang
In Proceedings of the 17th International Conference on Artificial …, 2014
222014
Giant: Globally improved approximate newton method for distributed optimization
S Wang, F Roosta-Khorasani, P Xu, MW Mahoney
Advances in Neural Information Processing Systems, 2332-2342, 2018
192018
Open domain short text conceptualization: A generative+ descriptive modeling approach
Y Song, S Wang, H Wang
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
182015
A practical guide to randomized matrix computations with MATLAB implementations
S Wang
arXiv preprint arXiv:1505.07570, 2015
182015
Sketched ridge regression: Optimization perspective, statistical perspective, and model averaging
S Wang, A Gittens, MW Mahoney
The Journal of Machine Learning Research 18 (1), 8039-8088, 2017
172017
Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition
S Wang, Z Zhang, T Zhang
arXiv preprint arXiv:1503.08395, 2015
172015
A Scalable CUR Matrix Decomposition Algorithm: Lower Time Complexity and Tighter Bound
S Wang, Z Zhang
Advances in Neural Information Processing Systems (NIPS), 2012
162012
Improving the modified nyström method using spectral shifting
S Wang, C Zhang, H Qian, Z Zhang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
112014
Exact subspace clustering in linear time
S Wang, B Tu, C Xu, Z Zhang
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
102014
Scalable kernel k-means clustering with nystrom approximation: Relative-error bounds
S Wang, A Gittens, MW Mahoney
arXiv preprint arXiv:1706.02803, 2017
92017
Improved analyses of the randomized power method and block Lanczos method
S Wang, Z Zhang, T Zhang
arXiv preprint arXiv:1508.06429, 2015
92015
Oversketch: Approximate matrix multiplication for the cloud
V Gupta, S Wang, T Courtade, K Ramchandran
2018 IEEE International Conference on Big Data (Big Data), 298-304, 2018
82018
Towards real-time geologic feature detection from seismic measurements using a randomized machine-learning algorithm
Y Lin, G Guthrie, D Coblentz, S Wang, J Thiagarajan
SEG Technical Program Expanded Abstracts 2017, 2143-2148, 2017
82017
Error estimation for randomized least-squares algorithms via the bootstrap
ME Lopes, S Wang, MW Mahoney
arXiv preprint arXiv:1803.08021, 2018
72018
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