Publications
Preprints
- Recovering Optimal Solution by Dual Random Projection
with Lijun Zhang and Rong Jin
Arxiv version, submitted
- Efficient Constrained Regret Minimization
with Mehrdad Mahdavi and Rong Jin
Arxiv version, submitted
- An Efficient Primal-Dual Prox Method for Non-Smooth Optimization [bibtex]
Tianbao Yang, Mehrdad Mahdavi and Rong Jin and Shenghuo Zhu,
Arxiv version, submitted
- Regret Bound by Variation for Online Convex Optimization
Tianbao Yang, Mehrdad Mahdavi and Rong Jin and Shenghuo Zhu
Axiv version, submitted
- An Improved Bound for the Nystrom Method for Large Eigengap
with Rong Jin, Mehrdad Mahdavi
- Improved Bound for the Nystrom's Method and its Application to Kernel Classification
with Rong Jin, Mehrdad Mahdavi and Yu-Feng Li and Zhi-Hua Zhou
Arxiv version, submitted
Conference and Journal Publications
- Online Stochastic Optimization with Multiple Objectives
with Mehrdad Mahdavi, Rong Jin
In NIPS workshop on Optimization for Machine Learning, 2012.
- Online Decision Making Under Stochastic Constraints
with Mehrdad Mahdavi, Rong Jin
In NIPS workshop on Discrete Optimization in Machine Learning, 2012.
- Robust Ensemble Clustering by Matrix Completion
Jinfeng Yi, Tianbao Yang, Rong Jin, Anil Jain
In ICDM, 2012.
- Semi-Crowdsourced Clustering: Generalizing Crowd Labeling by Robust Distance Metric Learning
Jinfeng Yi, Rong Jin, Anil Jain, Shaili Jain, Tianbao Yang
In NIPS, 2012.
- Nystrom Method vs Random Fourier Features: A Theoretical and Empirical Comparison
Tianbao Yang, Yu-Feng Li, Mehrdad Mahdavi, Rong Jin, Zhi-Hua Zhou
In NIPS, 2012.
- Stochastic Gradient Descent with Only One Projection
with Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu and Jinfeng Yi
In NIPS, 2012.
- Online Multiple Kernel Classification
Steven Hoi, Rong Jin, Peilin Zhao, Tianbao Yang
ML, 2012.
- Trading Regret for Efficiency: Online Convex Optimization with Long Term Constraints
with Mehrdad Mahdavi and Rong Jin
JMLR, 2012.
- A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound [bibtex]
with Ming Ji, Binbin Lin, Rong Jin, Jiawei Han
In ICML 2012
- Multiple Kernel Learning from Noisy Labels by Stochastic Programming [bibtex]
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Lijun Zhang, Yang Zhou
In ICML 2012
- Online Optimization with Gradual Variations [bibtex]
with Chao-Kai Chiang, Chia-Jung Lee, Mehrdad Mahdavi, Chi-Jen Lu, Rong Jin, Shenghuo Zhu
In COLT 2012. Best Student Paper Award.
This paper is a merged paper of two COLT submissions. Our manuscript proposes two algorithms for online convex optimization
to obtain a variation based regret bound. One of our algorihtms is the same to the algoirhtm proposed in the other submission.
A commmentray on the merged paper written by Satyen Kale can be found here.
Regret Bound by Variation for Online Convex Optimization.
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Shenghuo Zhu
- Learning Kernel Combination from Noisy Pairwise Constraints [bibtex]
Tianbao Yang, Rong Jin, Anil K. Jain
In IEEE SSP 2012
- Online Kernel Selection: Algorithms and Evaluations [bibtex]
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Yi, Steven Hoi
In AAAI 2012 (oral presentation)
- Online AUC Maximization [bibtex]
Peilin Zhao, Steven Hoi, Rong Jin, Tianbao Yang
In ICML 2011
- A Kernel Density Based Approach for Large Scale Image Retrieval [bibtex]
Wei Tong, Fengjie Li, Tianbao Yang, Rong Jin, Anil Jain
In ICMR 2011
- Detecting Communities and Their Evolutions in Dynamic Social Networks: A Bayesian Approach [Codes][bibtex]
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin
In ML 2011
- Online Multiple Kernel Learning: Algorithms and Mistake Bounds [bibtex]
with Rong Jin and Steven Hoi
In ALT 2010
- Unsupervised Transfer Classification: Application to Text Categorization [bibtex]
Tianbao Yang, Rong Jin, Anil Jain, Yang Zhou, Wei Tong
In KDD 2010
- Learning from Noisy Side Information by Generalized Maximum Entropy Model [Supplementary Material][bibtex]
Tianbao Yang, Rong Jin, Anil Jain
In ICML 2010
- Co-training for Large Scale Image Classification: An Online Approach [bibtex]
Wei Tong, Tianbao Yang, Rong Jin, Anil Jain
In ICPR 2010 workshop on Analysis and Evaluation Large-scale Multimedia.
- Directed Network Community Detection: A Popularity and Productivity Link Model [bibtex]
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin
In SDM 2010.
- A Bayesian Framework for Community Detection Integrating Content and Link [bibtex]
Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
In UAI 2009.
- Combining Link and Content for Community Detection: A Discriminative Approach [Codes][bibtex]
Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
In KDD 2009.
- A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks [bibtex]
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, Rong Jin
In SDM 2009.
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