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Yaoliang Yu
Yaoliang Yu
Verified email at uwaterloo.ca - Homepage
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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
5232015
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
3222016
Convex multi-view subspace learning
M White, Y Yu, X Zhang, D Schuurmans
Advances in Neural Information Processing Systems, 1682-1690, 2012
1622012
DeeBERT: Dynamic early exiting for accelerating BERT inference
J Xin, R Tang, J Lee, Y Yu, J Lin
arXiv preprint arXiv:2004.12993, 2020
1122020
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
1122015
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
Analysis of kernel mean matching under covariate shift
Y Yu, C Szepesvári
ICML, 2012
852012
On decomposing the proximal map
YL Yu
Advances in neural information processing systems 26, 2013
832013
Sum-of-squares polynomial flow
P Jaini, KA Selby, Y Yu
International Conference on Machine Learning, 3009-3018, 2019
822019
Complex event detection using semantic saliency and nearly-isotonic SVM
X Chang, Y Yang, EP Xing, YL Yu
ICML, 2015
822015
Better approximation and faster algorithm using the proximal average
YL Yu
Advances in neural information processing systems 26, 2013
692013
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
542015
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
462010
Generalized conditional gradient for sparse estimation
Y Yu, X Zhang, D Schuurmans
University of Illinois at Chicago, 2017
452017
Distributional reinforcement learning for efficient exploration
B Mavrin, H Yao, L Kong, K Wu, Y Yu
International conference on machine learning, 4424-4434, 2019
402019
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
40*2016
Additive approximations in high dimensional nonparametric regression via the SALSA
K Kandasamy, Y Yu
International conference on machine learning, 69-78, 2016
372016
Rank/norm regularization with closed-form solutions: Application to subspace clustering
YL Yu, D Schuurmans
arXiv preprint arXiv:1202.3772, 2012
372012
Convex sparse coding, subspace learning, and semi-supervised extensions
X Zhang, Y Yu, M White, R Huang, D Schuurmans
Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
372011
Problems and opportunities in training deep learning software systems: An analysis of variance
HV Pham, S Qian, J Wang, T Lutellier, J Rosenthal, L Tan, Y Yu, ...
Proceedings of the 35th IEEE/ACM international conference on automated …, 2020
352020
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