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All publications by Rong Jin
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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


CUR Algorithm for Partially Observed Matrices
Miao Xu, Rong Jin and Zhi-hua Zhou
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Efficient Algorithms for Robust One-bit Compressive Sensing
Lijun Zhang, Jinfeng Yi and Rong Jin
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data
Jinfeng Yi, Lijun Zhang, Jun Wang, Rong Jin and Anil Jain
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


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


Top Rank Optimization in Linear Time
Nan Li, Rong Jin and Zhi-hua Zhou
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


Online Kernel Learning with a Near Optimal Sparsity Bound
Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin and Xiaofei He
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion
Jinfeng Yi, Lijun Zhang, Rong Jin, Qi Qian and Anil Jain
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


One-Pass AUC Optimization
Wei Gao, Rong Jin, Shenghuo Zhu and Zhi-hua Zhou
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Speedup Matrix Completion with Side Information: Application to Multi-Label Learning
Miao Xu, Rong Jin and Zhi-hua Zhou
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


Mixed Optimization for Smooth Functions
Mehrdad Mahdavi, Lijun Zhang and Rong Jin
Advances in Neural Information Processing Systems 26, 2013


Linear Convergence with Condition Number Independent Access of Full Gradients
Lijun Zhang, Mehrdad Mahdavi 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


Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning
Peilin Zhao, Jialei Wang, Pengcheng Wu, Rong Jin and Steven C. Hoi
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 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


Simple and Efficient Multiple Kernel Learning by Group Lasso
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King and Michael R. Lyu
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition
Serhat Bucak, Rong Jin and Anil K. Jain
Advances in Neural Information Processing Systems 23, 2010


Active Learning by Querying Informative and Representative Examples
Sheng-jun Huang, Rong Jin and Zhi-hua Zhou
Advances in Neural Information Processing Systems 23, 2010


Exclusive Lasso for Multi-task Feature Selection
Yang Zhou, Rong Jin and Steven Hoi
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


A Potential-based Framework for Online Multi-class Learning with Partial Feedback
Shijun Wang, Rong Jin and Hamed Valizadegan
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


Online learning by ellipsoid method
Liu Yang, Rong Jin and Jieping Ye
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Non-monotonic feature selection
Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu and Irwin King
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Adaptive Regularization for Transductive Support Vector Machine
Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael Lyu and Zhirong Yang
Advances in Neural Information Processing Systems 22, 2009


Learning to Rank by Optimizing NDCG Measure
Hamed Valizadegan, Rong Jin, Ruofei Zhang and Jianchang Mao
Advances in Neural Information Processing Systems 22, 2009


Learning Bregman Distance Functions and Its Application for Semi-Supervised Clustering
Lei Wu, Rong Jin, Steven C. Hoi, Jianke Zhu and Nenghai Yu
Advances in Neural Information Processing Systems 22, 2009


Regularized Distance Metric Learning:Theory and Algorithm
Rong Jin, Shijun Wang and Yang Zhou
Advances in Neural Information Processing Systems 22, 2009


DUOL: A Double Updating Approach for Online Learning
Peilin Zhao, Steven C. Hoi and Rong Jin
Advances in Neural Information Processing Systems 22, 2009


An Information Geometry Approach for Distance Metric Learning
Shijun Wang and Rong Jin
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


Active kernel learning
Rong Jin and Steven C. Hoi
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Semi-supervised Learning with Weakly-Related Unlabeled Data : Towards Better Text Categorization
Liu Yang, Rong Jin and Rahul Sukthankar
Advances in Neural Information Processing Systems 21, 2008


An Extended Level Method for Efficient Multiple Kernel Learning
Zenglin Xu, Rong Jin, Irwin King and Michael Lyu
Advances in Neural Information Processing Systems 21, 2008


Multi-label Multiple Kernel Learning
Shuiwang Ji, Liang Sun, Rong Jin and Jieping Ye
Advances in Neural Information Processing Systems 21, 2008


Learning nonparametric kernel matrices from pairwise constraints
Steven Hoi, Rong Jin and Michael R. Lyu
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Efficient Convex Relaxation for Transductive Support Vector Machine
Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King and Michael Lyu
Advances in Neural Information Processing Systems 20, 2007


Batch mode active learning and its application to medical image classification
Steven Hoi, Rong Jin, Jianke Zhu and Michael R. Lyu
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Generalized Maximum Margin Clustering and Unsupervised Kernel Learning
Hamed Valizadegan and Rong Jin
Advances in Neural Information Processing Systems 19, 2006


A smoothed boosting algorithm using probabilistic output codes
Rong Jin and Jian Zhang
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


Learn to weight terms in information retrieval using category information
Rong Jin, Joyce Y. Chai and Luo Si
Proceedings of the 22nd International Conference on Machine Learning (ICML-05), 2005


A Probabilistic Approach for Optimizing Spectral Clustering
Rong Jin, Feng Kang and Chris H. Ding
Advances in Neural Information Processing Systems 18, 2005


Robust feature induction for support vector machines
Rong Jin and Huan Liu
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization
Jian Z. An, Rong Jin, Yiming Yang and Alexander G. Hauptmann
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Flexible Mixture Model for Collaborative Filtering
Luo Si and Rong Jin
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


A Faster Iterative Scaling Algorithm for Conditional Exponential Model
Rong Jin, Rong Yan, Jian Zhang and Alexander G. Hauptmann
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning with Multiple Labels
Rong Jin and Zoubin Ghahramani
Advances in Neural Information Processing Systems 15, 2002