Tong Zhang

发表

The Epoch-Greedy algorithm for contextual multi-armed bandits

J. Langford, Tong Zhang, 2007, NIPS 2007.

Some sharp performance bounds for least squares regression with L1 regularization

Tong Zhang, 2009, 0908.2869.

Gradient Sparsification for Communication-Efficient Distributed Optimization

Ji Liu, Tong Zhang, Jialei Wang, 2017, NeurIPS.

Efficient Optimal Learning for Contextual Bandits pdf

John Langford, Nikos Karampatziakis, Miroslav Dudík, 2011, UAI.

Robust Matrix Decomposition With Sparse Corruptions

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2011, IEEE Transactions on Information Theory.

An Analysis of Random Design Linear Regression pdf

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2011, ArXiv.

Stochastic dual coordinate ascent methods for regularized loss

Shai Shalev-Shwartz, Tong Zhang, S. Shalev-Shwartz, 2012, J. Mach. Learn. Res..

Image Classification Using Super-Vector Coding of Local Image Descriptors

Thomas S. Huang, Tong Zhang, Xi Zhou, 2010, ECCV.

Communication-Efficient Distributed Optimization using an Approximate Newton-type Method pdf

Ohad Shamir, Tong Zhang, Nathan Srebro, 2013, ICML.

Sparse Online Learning via Truncated Gradient

John Langford, Lihong Li, Tong Zhang, 2008, NIPS.

Tail inequalities for sums of random matrices that depend on the intrinsic dimension

Daniel J. Hsu, S. Kakade, Tong Zhang, 2012 .

Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling

Peter Richtárik, Tong Zhang, Zheng Qu, 2015, NIPS.

Multi-Label Prediction via Compressed Sensing

John Langford, Sham M. Kakade, Tong Zhang, 2009, NIPS.

Robust Matrix Decomposition with Outliers pdf

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2010, ArXiv.

Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes

Ohad Shamir, Tong Zhang, Tong Zhang, 2012, ICML.

Spectral Methods for Learning Multivariate Latent Tree Structure

Le Song, Anima Anandkumar, Sham M. Kakade, 2011, NIPS.

Improved Local Coordinate Coding using Local Tangents

Tong Zhang, Kai Yu, Tong Zhang, 2010, ICML.

A Proximal Stochastic Gradient Method with Progressive Variance Reduction

Lin Xiao, Tong Zhang, Tong Zhang, 2014, SIAM J. Optim..

Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization

Tong Zhang, Shai Shalev-Shwartz, S. Shalev-Shwartz, 2013, Mathematical Programming.

Proximal Stochastic Dual Coordinate Ascent pdf

Tong Zhang, Shai Shalev-Shwartz, S. Shalev-Shwartz, 2012, ArXiv.

Randomized Dual Coordinate Ascent with Arbitrary Sampling pdf

Peter Richtárik, Tong Zhang, Zheng Qu, 2014, ArXiv.

Adaptive Forward-Backward Greedy Algorithm for Learning Sparse Representations

Tong Zhang, Tong Zhang, 2011, IEEE Transactions on Information Theory.

Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models

Tong Zhang, Tong Zhang, 2008, NIPS.

A tail inequality for quadratic forms of subgaussian random vectors pdf

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2011, ArXiv.

The Epoch-Greedy Algorithm for Multi-armed Bandits with Side Information

John Langford, Tong Zhang, J. Langford, 2007, NIPS.

Trading Accuracy for Sparsity in Optimization Problems with Sparsity Constraints

Tong Zhang, Nathan Srebro, Shai Shalev-Shwartz, 2010, SIAM J. Optim..

Truncated power method for sparse eigenvalue problems

Xiao-Tong Yuan, Tong Zhang, Tong Zhang, 2011, J. Mach. Learn. Res..

A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem

Lin Xiao, Tong Zhang, Tong Zhang, 2012, SIAM J. Optim..

Sparse Recovery With Orthogonal Matching Pursuit Under RIP

Tong Zhang, Tong Zhang, 2010, IEEE Transactions on Information Theory.

Dimension-free tail inequalities for sums of random matrices pdf

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2011, ArXiv.

Learning with structured sparsity

Junzhou Huang, Dimitris N. Metaxas, Tong Zhang, 2009, ICML '09.

A General Theory of Concave Regularization for High-Dimensional Sparse Estimation Problems

Tong Zhang, Cun-Hui Zhang, Tong Zhang, 2011, 1108.4988.

A spectral algorithm for learning Hidden Markov Models

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2008, J. Comput. Syst. Sci..

Compressed Counting Meets Compressed Sensing

Ping Li, Tong Zhang, Cun-Hui Zhang, 2013, COLT.

Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation

Qingshan Liu, Guangcan Liu, Xiao-Tong Yuan, 2016, NIPS.

Identifying antigenicity-associated sites in highly pathogenic H5N1 influenza virus hemagglutinin by using sparse learning.

Tong Zhang, Zhipeng Cai, Xiu-Feng Wan, 2012, Journal of molecular biology.

Concepts and applications for influenza antigenic cartography.

Tong Zhang, X. Wan, Zhipeng Cai, 2011, Influenza and other respiratory viruses.

Random Design Analysis of Ridge Regression

Sham M. Kakade, Tong Zhang, Daniel J. Hsu, 2012, COLT.

Using Sequence Data To Infer the Antigenicity of Influenza Virus

Tong Zhang, Xiu-Feng Wan, Hailiang Sun, 2013, mBio.

Integrative Analysis of Many Weighted Co-Expression Networks Using Tensor Computation

Haifeng Li, Tong Zhang, Chun-Chi Liu, 2011, PLoS Comput. Biol..

A General Theory of Concave Regularization for High-Dimensional Sparse Estimation Problems

Tong Zhang, Cun-Hui Zhang, 2011, 1108.4988.

Information Retrieval and Text Mining

Tong Zhang, S. Weiss, N. Indurkhya, 2015 .

Random Design Analysis of Ridge Regression

Daniel J. Hsu, S. Kakade, Tong Zhang, 2011, COLT.

Introduction to the Special Issue on Sparsity and Regularization Methods

J. Wellner, Tong Zhang, 2013, 1301.0211.

Partial Gaussian Graphical Model Estimation

Xiao-Tong Yuan, Tong Zhang, Tong Zhang, 2012, IEEE Transactions on Information Theory.

Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference pdf

Yonina C. Eldar, Zhuoran Yang, Zhaoran Wang, 2015, ArXiv.

A Computational Framework for Influenza Antigenic Cartography

Zhipeng Cai, Tong Zhang, Xiu-Feng Wan, 2010, PLoS Comput. Biol..

Accelerated Mini-Batch Stochastic Dual Coordinate Ascent

Shai Shalev-Shwartz, Tong Zhang, S. Shalev-Shwartz, 2013, NIPS.

Analysis of Multi-stage Convex Relaxation for Sparse Regularization

Tong Zhang, Tong Zhang, 2010, J. Mach. Learn. Res..

Text Mining: Predictive Methods for Analyzing Unstructured Information

Tong Zhang, Sholom M. Weiss, Fred J. Damerau, 2004 .

Nonlinear Learning using Local Coordinate Coding

Yihong Gong, Tong Zhang, Kai Yu, 2009, NIPS.

Classifying search queries using the Web as a source of knowledge

Andrei Z. Broder, Marcus Fontoura, Evgeniy Gabrilovich, 2009, TWEB.

Learning nonlinear dynamic models pdf

John Langford, Ruslan Salakhutdinov, Tong Zhang, 2009, ICML '09.

The Benefit of Group Sparsity

Junzhou Huang, Tong Zhang, Tong Zhang, 2009 .

Learning to Search Efficiently in High Dimensions

Yihong Gong, Zhen Li, Thomas S. Huang, 2011, NIPS.

From Textual Information to Numerical Vectors

Sholom M. Weiss, Nitin Indurkhya, Tong Zhang, 2015 .

Multi-stage Convex Relaxation for Learning with Sparse Regularization

Tong Zhang, Tong Zhang, 2008, NIPS.

Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization

Xiao-Tong Yuan, Ping Li, Tong Zhang, 2013, ICML.

Exact Recovery of Hard Thresholding Pursuit

Xiao-Tong Yuan, Ping Li, Tong Zhang, 2016, NIPS.

A Proximal-Gradient Homotopy Method for the L1-Regularized Least-Squares Problem

Lin Xiao, Tong Zhang, Tong Zhang, 2012, ICML.

AntigenMap 3D: an online antigenic cartography resource

Zhipeng Cai, Tong Zhang, Jialiang Yang, 2012, Bioinform..

Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity

Yonina C. Eldar, Zhuoran Yang, Zhaoran Wang, 2016, ICML.

On the Consistency of Feature Selection using Greedy Least Squares Regression

Tong Zhang, Tong Zhang, 2009, J. Mach. Learn. Res..

A Joint Matrix Completion and Filtering Model for Influenza Serological Data Integration

Tong Zhang, Xiu-Feng Wan, Xiao-Tong Yuan, 2013, PloS one.

Antigenic distance measurements for seasonal influenza vaccine selection.

Tong Zhang, Zhipeng Cai, Xiu-Feng Wan, 2012, Vaccine.

Fundamentals of Predictive Text Mining

Tong Zhang, Sholom M. Weiss, Nitin Indurkhya, 2010, Texts in Computer Science.

Random Design Analysis of Ridge Regression

Daniel J. Hsu, S. Kakade, Tong Zhang, 2011, Foundations of Computational Mathematics.

The Benefit of Group Sparsity

Tong Zhang, Junzhou Huang, 2009, 0901.2962.

High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning pdf

Krishnakumar Balasubramanian, Tong Zhang, Kai Yu, 2013, UAI.

A General Framework of Dual Certificate Analysis for Structured Sparse Recovery Problems

Tong Zhang, Cun-Hui Zhang, Tong Zhang, 2012, 1201.3302.

Agnostic Active Learning Without Constraints

John Langford, Tong Zhang, Alina Beygelzimer, 2010, NIPS.

Aggregation of Affine Estimators pdf

Tong Zhang, Dong Dai, Philippe Rigollet, 2013, ArXiv.

Batch-Mode Active Learning via Error Bound Minimization

Jiawei Han, Tong Zhang, Quanquan Gu, 2014, UAI.

Selective Labeling via Error Bound Minimization

Chris H. Q. Ding, Jiawei Han, Tong Zhang, 2012, NIPS.

Active Learning with an ERM Oracle

John Langford, Tong Zhang, Alina Beygelzimer, 2009 .

Fast Component Pursuit for Large-Scale Inverse Covariance Estimation

Yu Zhang, Tong Zhang, Lei Han, 2016, KDD.

Deep Coding Network

Shenghuo Zhu, Yuanqing Lin, Tong Zhang, 2010, NIPS.

Stochastic dual coordinate ascent methods for regularized loss

S. Shalev-Shwartz, Tong Zhang, 2012, J. Mach. Learn. Res..

Efficient Optimal Learning for Contextual Bandits

Daniel J. Hsu, J. Langford, Tong Zhang, 2011, UAI.

Sparse Online Learning via Truncated Gradient

J. Langford, Tong Zhang, Lihong Li, 2008, NIPS.

Learning Pairwise Graphical Models with Nonlinear Sufficient Statistics

Tong Zhang, Ping Li, Xiao-Tong Yuan, 2013, 1311.5479.

Text Mining: Predictive Methods for Analyzing Unstructured Information

Fred J. Damerau, Tong Zhang, S. Weiss, 2004 .

Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling

Tong Zhang, R. Garnett, Peter Richtárik, 2015, NIPS.

A tail inequality for quadratic forms of subgaussian random vectors

Daniel J. Hsu, S. Kakade, Tong Zhang, 2011, ArXiv.