Tianbao Yang
Tianbao Yang
Verified email at uiowa.edu - Homepage
Cited by
Cited by
Combining link and content for community detection: a discriminative approach
T Yang, R Jin, Y Chi, S Zhu
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
Nyström method vs random fourier features: A theoretical and empirical comparison
T Yang, YF Li, M Mahdavi, R Jin, ZH Zhou
Advances in neural information processing systems 25, 476-484, 2012
Detecting communities and their evolutions in dynamic social networks—a Bayesian approach
T Yang, Y Chi, S Zhu, Y Gong, R Jin
Machine learning 82 (2), 157-189, 2011
Online AUC maximization
P Zhao, SCH Hoi, R Jin, T YANG
International Machine Learning Society, 2011
Hyper-class augmented and regularized deep learning for fine-grained image classification
S Xie, T Yang, X Wang, Y Lin
Proceedings of the IEEE conference on computer vision and pattern …, 2015
Online optimization with gradual variations
CK Chiang, T Yang, CJ Lee, M Mahdavi, CJ Lu, R Jin, S Zhu
Conference on Learning Theory, 6.1-6.20, 2012
Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent.
T Yang
NIPS 27, 629-637, 2013
Trading regret for efficiency: online convex optimization with long term constraints
M Mahdavi, R Jin, T Yang
The Journal of Machine Learning Research 13 (1), 2503-2528, 2012
Learning attributes equals multi-source domain generalization
C Gan, T Yang, B Gong
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Hetero-convlstm: A deep learning approach to traffic accident prediction on heterogeneous spatio-temporal data
Z Yuan, X Zhou, T Yang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
Online multiple kernel classification
SCH Hoi, R Jin, P Zhao, T Yang
Machine Learning 90 (2), 289-316, 2013
Semi-crowdsourced clustering: Generalizing crowd labeling by robust distance metric learning
J Yi, R Jin, S Jain, T Yang, AK Jain
Advances in neural information processing systems, 1772-1780, 2012
Non-convex min-max optimization: Provable algorithms and applications in machine learning
H Rafique, M Liu, Q Lin, T Yang
arXiv preprint arXiv:1810.02060, 2018
First-order stochastic algorithms for escaping from saddle points in almost linear time
Y Xu, R Jin, T Yang
arXiv preprint arXiv:1711.01944, 2017
Online multiple kernel learning: Algorithms and mistake bounds
R Jin, SCH Hoi, T Yang
International conference on algorithmic learning theory, 390-404, 2010
Robust Ensemble Clustering by Matrix Completion
J Yi, T Yang, R Jin, AK Jain, M Mahdavi
Data Mining (ICDM), 2012 IEEE 12th International Conference on, 1176-1181, 2012
Recovering the optimal solution by dual random projection
L Zhang, M Mahdavi, R Jin, T Yang, S Zhu
Conference on Learning Theory, 135-157, 2013
A machine learning approach for air quality prediction: Model regularization and optimization
D Zhu, C Cai, T Yang, X Zhou
Big data and cognitive computing 2 (1), 5, 2018
A bayesian approach toward finding communities and their evolutions in dynamic social networks
T Yang, Y Chi, S Zhu, Y Gong, R Jin
Proceedings of the 2009 SIAM International Conference on Data Mining, 990-1001, 2009
Tracking slowly moving clairvoyant: Optimal dynamic regret of online learning with true and noisy gradient
T Yang, L Zhang, R Jin, J Yi
International Conference on Machine Learning, 449-457, 2016
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