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All publications by Tianbao Yang
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Theory of Dual-sparse Regularized Randomized Reduction
Tianbao Yang, Lijun Zhang, Rong Jin and Shenghuo Zhu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection
Tianbao Yang, Lijun Zhang, Rong Jin and Shenghuo Zhu
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities
Tianbao Yang and Rong Jin
Advances in Neural Information Processing Systems 27, 2014


O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions
Lijun Zhang, Tianbao Yang, Rong Jin and Xiaofei He
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent
Tianbao Yang
Advances in Neural Information Processing Systems 26, 2013


Stochastic Convex Optimization with Multiple Objectives
Mehrdad Mahdavi, Tianbao Yang and Rong Jin
Advances in Neural Information Processing Systems 26, 2013


Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning
Jinfeng Yi, Rong Jin, Shaili Jain, Tianbao Yang and Anil K. Jain
Advances in Neural Information Processing Systems 25, 2012


Stochastic Gradient Descent with Only One Projection
Mehrdad Mahdavi, Tianbao Yang, Rong Jin, Shenghuo Zhu and Jinfeng Yi
Advances in Neural Information Processing Systems 25, 2012


"Nystr{\""o}m Method vs Random Fourier Features: A Theoretical and Empirical Comparison"
Tianbao Yang, Yu-feng Li, Mehrdad Mahdavi, Rong Jin and Zhi-hua Zhou
Advances in Neural Information Processing Systems 25, 2012


Multiple Kernel Learning from Noisy Labels by Stochastic Programming
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Lijun Zhang and Yang Zhou
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound
Ming Ji, Tianbao Yang, Binbin Lin, Rong Jin and Jiawei Han
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Online AUC Maximization
Peilin Zhao, Rong Jin, Tianbao Yang and Steven C. Hoi
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Learning from Noisy Side Information by Generalized Maximum Entropy Model
Tianbao Yang, Rong Jin and Anil K. Jain
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010