Yaoliang Yu
Yaoliang Yu
Verified email at uwaterloo.ca - Homepage
Title
Cited by
Cited by
Year
Petuum: A new platform for distributed machine learning on big data
EP Xing, Q Ho, W Dai, JK Kim, J Wei, S Lee, X Zheng, P Xie, A Kumar, ...
IEEE Transactions on Big Data 1 (2), 49-67, 2015
4172015
Semantic pooling for complex event analysis in untrimmed videos
X Chang, YL Yu, Y Yang, EP Xing
IEEE transactions on pattern analysis and machine intelligence 39 (8), 1617-1632, 2016
2722016
Convex multi-view subspace learning
M White, Y Yu, X Zhang, D Schuurmans
Advances in Neural Information Processing Systems, 1682-1690, 2012
1362012
Accelerated training for matrix-norm regularization: A boosting approach
X Zhang, Y Yu, D Schuurmans
Advances in Neural Information Processing Systems, 2906-2914, 2012
1072012
Semantic concept discovery for large-scale zero-shot event detection
X Chang, Y Yang, A Hauptmann, EP Xing, YL Yu
Twenty-fourth international joint conference on artificial intelligence, 2015
892015
Complex event detection using semantic saliency and nearly-isotonic SVM
X Chang, Y Yang, EP Xing, YL Yu
ICML, 2015
742015
Analysis of kernel mean matching under covariate shift
Y Yu, C Szepesvári
ICML, 2012
722012
On decomposing the proximal map
YL Yu
Advances in neural information processing systems 26, 91-99, 2013
672013
Better approximation and faster algorithm using the proximal average
YL Yu
Advances in neural information processing systems 26, 458-466, 2013
612013
Searching persuasively: Joint event detection and evidence recounting with limited supervision
X Chang, YL Yu, Y Yang, AG Hauptmann
Proceedings of the 23rd ACM international conference on Multimedia, 581-590, 2015
502015
Relaxed clipping: A global training method for robust regression and classification
Y Yu, M Yang, L Xu, M White, D Schuurmans
Advances in neural information processing systems, 2532-2540, 2010
392010
Sum-of-squares polynomial flow
P Jaini, KA Selby, Y Yu
arXiv preprint arXiv:1905.02325, 2019
372019
Generalized conditional gradient for sparse estimation
Y Yu, X Zhang, D Schuurmans
The Journal of Machine Learning Research 18 (1), 5279-5324, 2017
372017
Convex sparse coding, subspace learning, and semi-supervised extensions
X Zhang, Y Yu, M White, R Huang, D Schuurmans
Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 2011
362011
Additive approximations in high dimensional nonparametric regression via the SALSA
K Kandasamy, Y Yu
International conference on machine learning, 69-78, 2016
342016
Rank/norm regularization with closed-form solutions: Application to subspace clustering
YL Yu, D Schuurmans
arXiv preprint arXiv:1202.3772, 2012
342012
A general projection property for distribution families
YL Yu, Y Li, D Schuurmans, C Szepesvári
Advances in Neural Information Processing Systems 22, 2232-2240, 2009
342009
Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting.
P Xie, JK Kim, Y Zhou, Q Ho, A Kumar, Y Yu, EP Xing
UAI, 2016
30*2016
They are not equally reliable: Semantic event search using differentiated concept classifiers
X Chang, YL Yu, Y Yang, EP Xing
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
272016
Dropout with expectation-linear regularization
X Ma, Y Gao, Z Hu, Y Yu, Y Deng, E Hovy
arXiv preprint arXiv:1609.08017, 2016
232016
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