Tong Zhang's Homepage

Publications

Selected papers from 2000 to present.

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@article{CRZ00,
  author = {Jane Cullum and Albert Ruehli and Tong Zhang},
  title = {A method for reduced-order modeling and simulation of large
    interconnect circuits and its application to PEEC models
    including retardation},
  journal = {IEEE Trans. Circ. Sys.},
  year = 2000,
  volume = 47,
  url = {http://tongzhang-ml.org/papers/cs00_modred.pdf},
  pages = {261--273}
}

@article{ZhOl01,
  author = {Tong Zhang and Frank J. Oles},
  title = {Text Categorization based on regularized linear classification
       methods},
  journal = {Information Retrieval},
  year = 2001,
  volume = 4,
  url = {http://tongzhang-ml.org/papers/ir01_textcat.pdf},
  pages = {5--31}
}

@article{Zhang00-dualth,
  author = {Tong Zhang},
  title = {On the dual formulation of regularized linear systems},
  journal = {Machine Learning},
  volume = 46,
  pages = {91--129},
  url = {http://tongzhang-ml.org/papers/ml02_dual.pdf},
  year = 2002
}

@article{ZhTo02,
  author = {Tong Zhang and Carlo Tomasi},
  title = {On the Consistency of Instantaneous Rigid Motion Estimation},
  journal = {International Journal of Computer Vision},
  year = 2002,
  volume = 46,
  url = {http://tongzhang-ml.org/papers/ijcv02_motion.pdf},
  pages = {51--79}
}

@article{ZhGo01,
  author = {Tong Zhang and Gene H. Golub},
  title = {Rank-one approximation to high order tensors},
  journal = {SIAM Journal on Matrix Analysis and Applications},
  year = 2001,
  volume = 23,
  url = {http://tongzhang-ml.org/papers/siamax01_msvd.pdf},
  pages = {534--550}
}

@article{Zhang00-cover,
  author = {Tong Zhang},
  title = {Covering Number Bounds of Certain Regularized Linear 
    Function Classes},
  journal = {Journal of Machine Learning Research},
  year = 2002,
  volume = 2,
  url = {http://tongzhang-ml.org/papers/jmlr02_cover.pdf},
  pages = {527--550}
}

@article{ZDJ02,
  author = {Tong Zhang and Fred Damerau and David E. Johnson},
  title = {Text Chunking based on a Generalization of {W}innow},
  journal = {Journal of Machine Learning Research},
  year = 2002,
  volume = 2,
  url = {http://tongzhang-ml.org/papers/jmlr02_chunking.pdf},
  pages = {615--637}
}

@article{ZhIy01,
  author = {Tong Zhang and Vijay S. Iyengar},
  title = {Recommender Systems Using Linear Classifiers},
  journal = {Journal of Machine Learning Research},
  year = 2002,
  volume = 2,
  url = {http://tongzhang-ml.org/papers/jmlr02_cf.pdf},
  pages = {313--334}
}

@article{JOZG02,
  author = {D. E. Johnson and F. J. Oles and T. Zhang and T. Goetz},
  title = {A Decision-Tree-Based Symbolic Rule Induction System for 
Text Categorization},
  journal = {IBM Systems Journal},
  year = 2002,
  volume = 41,
  url = {http://tongzhang-ml.org/papers/ibmsys02_tree.pdf},
  pages = {428--437}
}

@article{CulZh02,
  author = {Jane Cullum and Tong Zhang},
  title = {Two-sided {A}rnoldi and non-symmetric {L}anczos Algorithms},
  journal = {SIAM Journal on Matrix Analysis and Applications},
  year = 2002,
  volume = 24,
  url = {http://tongzhang-ml.org/papers/siamax02_arnoldi.pdf},
  pages = {303--319}
}

@article{Zhang01-ker_greedy,
  author = {Tong Zhang},
  title = {Approximation Bounds for Some Sparse Kernel Regression Algorithms},
  journal = {Neural Computation},
  year = 2002,
  volume = 14,
  url = {http://tongzhang-ml.org/papers/nc02_greedy.pdf},
  pages = {3013--3042}
}

@article{Zhang01-consistency,
  author = {Tong Zhang},
  title = {Statistical Behavior and Consistency of Classification Methods based on Convex Risk Minimization},
  journal = {The Annals of Statistics},
  year = 2004,
  volume = 32,
  pages = {56--85},
  url = {http://tongzhang-ml.org/papers/aos04_consistency.pdf},
  note = {with discussion}
}

@article{Zhang01-greedy,
  author = {Tong Zhang},
  title = {Sequential Greedy Approximation for Certain Convex
  Optimization Problems},
  journal = {IEEE Transaction on Information Theory},
  year = 2003,
  volume = 49,
  url = {http://tongzhang-ml.org/papers/it03_greedy.pdf},
  pages = {682--691}
}

@article{Zhang02-loo,
  author = {Tong Zhang},
  title = {Leave-one-out Bounds for Kernel Methods},
  journal = {Neural Computation},
  year = 2003,
  volume = 15,
  url = {http://tongzhang-ml.org/papers/nc03_loo.pdf},
  pages = {1397--1437}
}

@article{FZWI03,
  author = {Fred J. Damerau and Tong Zhang and Sholom M. Weiss 
and Nitin Indurkhya},
  title = {Text Categorization for a Comprehensive Time-Dependent Benchmark},
  journal = {Information Processing \& Management},
  year = 2004,
  volume = 40,
  url = {http://tongzhang-ml.org/papers/ipm04-new_reuters.pdf},
  pages = {209-221}
}

@article{MeiZha03,
  author = {Ron Meir and Tong Zhang},
  title = {Generalization Error Bounds for {B}ayesian Mixture Algorithms},
  journal = {Journal of Machine Learning Research},
  year = 2003,
  volume = 4,
  url = {http://tongzhang-ml.org/papers/jmlr03-mixture.pdf},
  pages = {839--860}
}

@article{MaMeZh03,
  author = {Shie Mannor and Ron Meir and Tong Zhang},
  title = {Greedy Algorithms for Classification - Consistency,
                  Convergence Rates, and Adaptivity},
  journal = {Journal of Machine Learning Research},
  year = 2003,
  volume = 4,
  url = {http://tongzhang-ml.org/papers/jmlr03-boost.pdf},
  pages = {713--741}
}

@article{Zhang04-multi,
  author = {Tong Zhang},
  title = {Statistical Analysis of Some Multi-category Large Margin Classification Methods},
  journal = {Journal of Machine Learning Research},
  year = 2004,
  volume = 5,
  url = {http://tongzhang-ml.org/papers/jmlr04-multicat.pdf},
  pages = {1225--1251}
}

@article{ZhYu05,
  author = {Tong Zhang and Bin Yu},
  title = {Boosting with Early Stopping: Convergence and Consistency},
  journal = {The Annals of Statistics},
  year = 2005,
  volume = 33,
  url = {http://tongzhang-ml.org/papers/aos05-boost.pdf},
  pages = {1538--1579}
}

@article{Zhang05-nc,
  author = {Tong Zhang},
  title = {Learning Bounds for Kernel Regression using Effective Data 
Dimensionality},
  journal = {Neural Computation},
  year = 2005,
  volume = 17,
  url = {http://tongzhang-ml.org/papers/nc05-ker.pdf},
  pages = {2077--2098}
}

@article{Ando+Zhang05:semi,
  author = {Rie Kubota Ando and Tong Zhang},
  title = {A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data},
  journal = {Journal of Machine Learning Research},
  year = 2005,
  volume = 6,
  url = {http://tongzhang-ml.org/papers/jmlr05_semisup.pdf},
  pages = {1817--1853}
}

@article{Zhang06:dens,
  author = {Tong Zhang},
  title = {From $\epsilon$-entropy to {KL}-entropy: 
Analysis of Minimum Information Complexity Density Estimation},
  journal = {The Annals of Statistics},
  year = 2006,
  volume = 34,
  url = {http://tongzhang-ml.org/papers/aos06-dens.pdf},
  pages = {2180--2210}
}

@article{Zhang06:infoexp,
  author = {Tong Zhang},
  title = {Information Theoretical Upper and Lower Bounds for Statistical Estimation},
  journal = {IEEE Trans. Info. Theory},
  year = 2006,
  volume = 52,
  url = {http://tongzhang-ml.org/papers/it06-bound.pdf},
  pages = {1307--1321}
}

@article{JohnsonZhang07-jmlr,
  author = {Rie Johnson and Tong Zhang},
  title = {On the Effectiveness of {L}aplacian Normalization for Graph Semi-supervised Learning},
  journal = {Journal of Machine Learning Research},
  year = 2007,
  volume = 8,
  url = {http://tongzhang-ml.org/papers/jmlr07-graph.pdf},
  pages = {1489--1517}
}

@article{JohnsonZhang07-it,
  author = {Rie Johnson and Tong Zhang},
  title = {Graph-based Semi-supervised Learning and Spectral Kernel Design},
  journal = {IEEE Trans. Info. Theory},
  year = 2008,
  volume = 54,
  url = {http://tongzhang-ml.org/papers/it08-graph.pdf},
  pages = {275--288}
}

@article{TillmannZhang07,
  author = {Christoph Tillmann and Tong Zhang},
  title = {A Block Bigram Prediction Model for Statistical Machine Translation},
  journal = {ACM Transactions on Speech and Language Processing},
  year = 2007,
  url = {http://tongzhang-ml.org/papers/acm_slp07.pdf},
  volume = 4
}

@article{TillmannZhang08,
  author = {Christoph Tillmann and Tong Zhang},
  title = {An Online Relevant Set Algorithm for Statistical Machine Translation},
  journal = {IEEE Transactions on Audio, Speech, and Language processing},
  volume = 16,
  number = 7,
  pages = {1274--1286},
  url = {http://tongzhang-ml.org/papers/taslp08-mt.pdf},
  year = 2008
}

@article{CossockZhang08,
  author = {David Cossock and Tong Zhang},
  title = {Statistical Analysis of {B}ayes Optimal Subset Ranking},
  journal = {IEEE Transactions on Information Theory},
  year = 2008,
  volume = 54,
  number = 11,
  url = {http://tongzhang-ml.org/papers/it08-ranking.pdf},
  pages = {5140-5154}
}

@article{Zhang07-l1,
  author = {Tong Zhang},
  title = {Some sharp performance bounds for least squares regression with {$L_1$} regularization},
  journal = {Ann. Statist.},
  fjournal = {Annals of Statistics},
  year = {2009},
  volume = {37},
  number = {5A},
  pages = {2109-2144},
  issn = {0090-5364},
  doi = {10.1214/08-AOS659},
  url = {http://tongzhang-ml.org/papers/aos09-L1.pdf},
  arxiv = {0908.2869},
  sici = {0090-5364(2009)37:5A<2109:SSPBFL>2.0.CO;2-4}
}

@article{Zhang08-forward,
  author = {Tong Zhang},
  title = {On the Consistency of Feature Selection using Greedy Least Squares Regression},
  journal = {Journal of Machine Learning Research},
  year = {2009},
  volume = {10},
  number = {19},
  pages = {555-568},
  url = {http://jmlr.org/papers/v10/zhang09a.html}
}

@article{LanLiZha09,
  author = {John Langford and Lihong Li and Tong Zhang},
  title = {Sparse Online Learning via Truncated Gradient},
  journal = {Journal of Machine Learning Research},
  year = {2009},
  volume = {10},
  number = {28},
  pages = {777-801},
  url = {http://jmlr.org/papers/v10/langford09a.html}
}

@article{BFGJJRZ08,
  author = {Andrei Broder and Marcus Fontoura and Evgeniy Gabrilovich and 
Amruta Joshi and Vanja Josifovski and Lance Riedel and Tong Zhang},
  title = {Classifying Search Quries Using the Web as a Source of Knowledge},
  journal = {ACM Transactions on the Web},
  year = 2009,
  volume = 3,
  url = {http://tongzhang-ml.org/papers/tweb09-qclass.pdf},
  pages = {1--28}
}

@incollection{Zhang09-handbook,
  author = {Tong Zhang},
  booktitle = {Handbook of Natural Language Processing},
  title = {Fundamental Statistical Techniques},
  editor = {Nitin Indurkhya and Fred Damerau},
  publisher = {Chapman \& Hall/CRC},
  year = 2009,
  url = {http://www.crcpress.com/product/isbn/9781420085921},
  edition = {2nd}
}

@article{HuangZhang09,
  author = {Junzhou Huang and Tong Zhang},
  title = {The Benefit of Group Sparsity},
  journal = {Annals of Statistics},
  year = 2010,
  volume = 38,
  url = {http://tongzhang-ml.org/papers/aos10-group.pdf},
  pages = {1978--2004}
}

@article{zhang09-multistage,
  author = {Tong Zhang},
  title = {Analysis of Multi-stage Convex Relaxation for Sparse Regularization},
  journal = {Journal of Machine Learning Research},
  year = {2010},
  volume = {11},
  number = {35},
  pages = {1081-1107},
  codenote = {Multistage Convex Relaxation Method for Sparse Learing (R code)},
  coderef = {http://tongzhang-ml.org/code/muscor.zip},
  url = {http://jmlr.org/papers/v11/zhang10a.html}
}

@article{ShSrZh09,
  author = {Shai Shalev-Shwartz and Nathan Srebro and Tong Zhang},
  title = {Trading Accuracy for Sparsity in Optimization Problems with Sparsity Constraints},
  journal = {Siam Journal on Optimization},
  year = 2010,
  volume = 20,
  url = {http://tongzhang-ml.org/papers/siopt10-sparsity.pdf},
  pages = {2807--2832}
}

@article{CaiZhaWan10,
  author = {Cai, Zhipeng AND Zhang, Tong AND Wan, Xiu-Feng},
  journal = {PLoS Comput Biol},
  publisher = {Public Library of Science},
  title = {A Computational Framework for Influenza Antigenic Cartography},
  year = 2010,
  month = 10,
  volume = 6,
  url = {http://dx.doi.org/10.1371%2Fjournal.pcbi.1000949},
  pages = {e1000949},
  number = 10,
  doi = {10.1371/journal.pcbi.1000949}
}

@article{Zhang08-foba,
  author = {Tong Zhang},
  title = {Adaptive Forward-Backward Greedy Algorithm for Learning Sparse Representations},
  journal = {IEEE Transactions on Information Theory},
  year = 2011,
  volume = 57,
  url = {http://tongzhang-ml.org/papers/it11-foba.pdf},
  codenote = {Forward Backward Greey Algorithm for Sparse Learning (R code)},
  coderef = {http://tongzhang-ml.org/code/foba.zip},
  pages = {4689--4708}
}

@article{LLZLWZ11,
  author = {Li, Wenyuan AND Liu, Chun-Chi AND Zhang, Tong AND Li, Haifeng AND Waterman, Michael S. AND Zhou, Xianghong Jasmine},
  journal = {PLoS Comput Biol},
  publisher = {Public Library of Science},
  title = {Integrative Analysis of Many Weighted Co-Expression Networks Using Tensor Computation},
  year = 2011,
  month = 06,
  volume = 7,
  url = {http://dx.doi.org/10.1371%2Fjournal.pcbi.1001106},
  pages = {e1001106},
  number = 6,
  doi = {10.1371/journal.pcbi.1001106}
}

@article{Zhang11-greedy_rip,
  author = {Tong Zhang},
  title = {Sparse Recovery with Orthogonal Matching Pursuit under {RIP}},
  journal = {IEEE Transactions on Information Theory},
  year = 2011,
  volume = 57,
  url = {http://tongzhang-ml.org/papers/it11-omp.pdf},
  pages = {6215 - 6221}
}

@article{CaZhWa11-cartopt,
  author = {Zhipeng Cai and Tong Zhang and Xiu-Feng Wan},
  title = {Concepts and applications for influenza antigenic cartography},
  journal = {Influenza and Other Respiratory Viruses},
  year = 2011,
  volume = 5,
  number = {Suppl. 1},
  url = {http://dx.doi.org/10.1016/j.jmb.2012.05.011},
  pages = {204--207}
}

@article{HsKaTz11-robust,
  author = {Daniel Hsu and Sham Kakade and Tong Zhang},
  title = {Robust Matrix Decomposition with Sparse Corruptions},
  journal = {IEEE Transactions on Information Theory},
  year = 2011,
  volume = 57,
  url = {http://tongzhang-ml.org/papers/it11-sparselowrank.pdf},
  pages = {7221--7234}
}

@article{HuangZhang09:structured_sparsity,
  author = {Junzhou Huang and Tong Zhang and Dimitris Metaxas},
  title = {Learning with Structured Sparsity},
  journal = {Journal of Machine Learning Research},
  year = {2011},
  volume = {12},
  number = {103},
  pages = {3371-3412},
  url = {http://jmlr.org/papers/v12/huang11b.html}
}

@article{HsKaZh12,
  author = {Daniel Hsu and Sham M. Kakade and Tong Zhang},
  title = { A Spectral Algorithm for Learning Hidden Markov Models},
  journal = {Journal of Computer and System Sciences},
  year = 2012,
  volume = 78,
  number = 5,
  url = {http://tongzhang-ml.org/papers/arxiv0811.4413.pdf},
  pages = {1460-1480}
}

@article{HsKaZh12-matrix-tail,
  author = {Daniel Hsu and Sham M. Kakade and Tong Zhang},
  title = {Tail inequalities for sums of random matrices that depend on the intrinsic dimension},
  journal = {Electronic Communications in Probability},
  year = 2012,
  volume = 17,
  url = {http://ecp.ejpecp.org/article/view/1869},
  pages = {article 14}
}

@article{Zhang12-multistage-fs,
  author = {Tong Zhang},
  title = {Multistage Convex Relaxation for Feature Selection},
  journal = {Bernoulli},
  year = 2013,
  volume = 19,
  url = {http://arxiv.org/abs/1106.0565},
  pages = {2277--2293}
}

@article{ZhZh12-concave,
  author = {Cunhui Zhang and Tong Zhang},
  title = {A General Theory of Concave Regularization for High Dimensional Sparse Estimation Problems},
  journal = {Statistical Science},
  year = 2012,
  volume = 27,
  url = {http://arxiv.org/abs/1108.4988},
  pages = {576--593}
}

@article{DaPhZh12,
  author = {Dong Dai and Philippe Rigollet and Tong Zhang},
  title = {Deviation Optimal Learning using Greedy {Q}-aggregation},
  journal = {Annals of Statistics},
  year = 2012,
  volume = 40,
  url = {http://arxiv.org/abs/1203.2507},
  pages = {1878--1905}
}

@article{CDYZLBWW12,
  author = {Zhipeng Cai and Mariette F Ducatez and Jialiang Yang and Tong Zhang and Li-Ping Long and Adrianus C.  Boon and Richard J.  Webby and Xiu-Feng Wan},
  title = {Identifying antigenicity associated sites in highly pathogenic {H}5{N}1 influenza virus hemagglutinin by using sparse learning},
  journal = {Journal of Molecular Biology},
  url = {http://dx.doi.org/10.1016/j.jmb.2012.05.011},
  year = 2012
}

@article{HsKaZh12-subGaussian-tail,
  author = {Daniel Hsu and Sham M. Kakade and Tong Zhang},
  title = {A tail inequality for quadratic forms of subgaussian random vectors},
  journal = {Electronic Communications in Probability},
  year = 2012,
  volume = 17,
  url = {https://projecteuclid.org/journals/electronic-communications-in-probability/volume-17/issue-none/A-tail-inequality-for-quadratic-forms-of-subgaussian-randomvectors/10.1214/ECP.v17-2079.full},
  pages = {article 52}
}

@article{ShalevZhang13,
  author = {Shai Shalev-Shwartz and Tong Zhang},
  title = {Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization},
  journal = {Journal of Machine Learning Research},
  volume = 14,
  pages = {567--599},
  url = {http://tongzhang-ml.org/papers/jmlr13-sdca.pdf},
  year = 2013
}

@article{YuanZhang13-speig,
  author = {Xiaotong Yuan and Tong Zhang},
  title = {Truncated Power Method for Sparse Eigenvalue Problems},
  journal = {Journal of Machine Learning Research},
  volume = 14,
  pages = {899--925},
  url = {http://tongzhang-ml.org/papers/jmlr13-tpower.pdf},
  codenote = {Truncated Power Method for sparse PCA (in matlab)},
  coderef = {http://tongzhang-ml.org/code/TPower.zip},
  year = 2013
}

@article{XiaoZhang13-homo,
  author = {Xiao, Lin and Zhang, Tong},
  title = {A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem},
  journal = {SIAM Journal on Optimization},
  volume = 23,
  number = 2,
  pages = {1062-1091},
  year = 2013,
  doi = {10.1137/120869997},
  url = {http://arxiv.org/abs/1203.3002},
  eprint = {http://epubs.siam.org/doi/pdf/10.1137/120869997}
}

@article{YuZhWa13,
  author = {Xiao-Tong Yuan and Tong Zhang and Xiu-Feng Wan},
  title = {A Joint Matrix Completion and Filtering Model for Influenza Serological Data Integration},
  journal = {PLoS ONE},
  year = 2013,
  volume = 8,
  number = 7,
  pages = {e69842},
  doi = {10.1371/journal.pone.0069842}
}

@article{YuanZhang14-pggm,
  author = {Xiaotong Yuan and Tong Zhang},
  title = {Partial {G}aussian Graphical Model Estimation},
  journal = {IEEE Transactions on Information Theory},
  volume = 60,
  pages = {1673--1687},
  url = {http://arxiv.org/abs/1209.6419},
  year = 2014
}

@article{HsKaZh14,
  year = 2014,
  issn = {1615-3375},
  journal = {Foundations of Computational Mathematics},
  doi = {10.1007/s10208-014-9192-1},
  title = {Random Design Analysis of Ridge Regression},
  url = {http://dx.doi.org/10.1007/s10208-014-9192-1},
  publisher = {Springer US},
  author = {Hsu, Daniel and Kakade, Sham M. and Zhang, Tong},
  pages = {1-32},
  language = {English}
}

@article{DaRiXiZh14,
  author = {Dong Dai and Philippe Rigollet and Lucy Xia and Tong Zhang},
  title = {Aggregation of affine estimators},
  journal = {Electron. J. Statist.},
  fjournal = {Electronic Journal of Statistics},
  year = {2014},
  volume = {8},
  pages = {302-327},
  issn = {1935-7524},
  doi = {10.1214/14-EJS886},
  sici = {1935-7524(2014)8:0<302:AOAE>2.0.CO;2-V}
}

@article{JohnZha14-pami,
  author = {Rie Johnson and Tong Zhang},
  title = {Learning Nonlinear Functions Using Regularized Greedy Forest},
  journal = {PAMI},
  year = 2014,
  volume = 36,
  url = {http://tongzhang-ml.org/papers/tpami14-rgf.pdf},
  codenote = {RGF Method for Boosted Decision Trees (in C++ with python interface)},
  coderef = {https://github.com/RGF-team/rgf},
  pages = {942--954}
}

@article{WaLiZh2014-aos,
  author = {Zhaoran Wang and Han Liu and Tong Zhang},
  title = {Optimal computational and statistical rates of convergence for sparse nonconvex learning problems},
  journal = {Ann. Statist.},
  fjournal = {Annals of Statistics},
  year = {2014},
  volume = {42},
  number = {6},
  pages = {2164-2201},
  issn = {0090-5364},
  doi = {10.1214/14-AOS1238},
  url = {http://arxiv.org/abs/1306.4960},
  arxiv = {1306.4960},
  sici = {0090-5364(2014)42:6<2164:OCASRO>2.0.CO;2-F}
}

@article{XiaZha14,
  author = {Lin Xiao and Tong Zhang},
  title = {A Proximal Stochastic Gradient Method with Progressive Variance Reduction},
  journal = {SIAM Journal on Optimization},
  year = 2014,
  volume = 24,
  url = {http://arxiv.org/abs/1403.4699},
  pages = {2057--2075}
}

@article{Shalev-Zhang14-accl,
  author = {Shai Shalev-Shwartz and Tong Zhang},
  title = {Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization},
  journal = {Mathematical Programming},
  year = 2016,
  volume = 155,
  url = {http://tongzhang-ml.org/papers/mathprog16-proxsdca.pdf},
  codenote = {Accelerated Prox-SDCA Method for large scale L1-L2 Regularized Linear Models (in C++)},
  coderef = {https://github.com/TongZhang-ML/sparseSDCA},
  pages = {105--145}
}

@article{SSSHZ15-jmlr,
  author = {Sivan Sabato and Shai Shalev-Shwartz and Nathan Srebro and Daniel Hsu and Tong Zhang},
  title = {Learning Sparse Low-Threshold Linear Classifiers},
  journal = {Journal of Machine Learning Research},
  year = 2015,
  volume = 16,
  url = {https://arxiv.org/abs/1212.3276},
  pages = {1275--1304}
}

@article{WZZ16-jmlr,
  author = {Shusen Wang and Zhihua Zhang and Tong Zhang},
  title = {Towards More Efficient {SPSD} Matrix Approximation and {CUR} Matrix Decomposition},
  journal = {Journal of Machine Learning Research},
  year = 2016,
  volume = 17,
  url = {http://tongzhang-ml.org/papers/jmlr16-matrix.pdf},
  pages = {1--49}
}

@article{SXWWZZZ17-tkde,
  author = {Jun Song and Jun Xiao and Fei Wu and Haishan Wu and Tong Zhang and Zhongfei Zhang and Wenwu Zhu},
  title = {Hierarchical Contextual Attention Recurrent Neural Network for Map Query Suggestion},
  journal = {IEEE Transactions on Knowledge and Data Engineering},
  year = 2017,
  doi = {10.1109/TKDE.2017.2700392}
}

@article{FLSZ17-aos,
  author = {Jianqing Fan and Han Liu and Qiang Sun and Tong Zhang},
  title = {I-LAMM for Sparse Learning: Simultaneous Control of Algorithmic Complexity and Statistical Error},
  journal = {Annals of Statistics},
  volume = 46,
  pages = {814-841},
  url = {http://tongzhang-ml.org/papers/aos18-ilamm.pdf},
  year = 2018
}

@article{ZhLiZh18-aos,
  author = {Tuo Zhao and Han Liu and Tong Zhang},
  title = {Pathwise coordinate optimization for sparse learning: Algorithm and theory},
  journal = {Ann. Statist.},
  fjournal = {Annals of Statistics},
  year = 2018,
  volume = 46,
  number = 1,
  pages = {180-218},
  issn = {0090-5364},
  doi = {10.1214/17-AOS1547},
  url = {http://tongzhang-ml.org/papers/aos18-zlz.pdf},
  sici = {0090-5364(2018)46:1<180:PCOFSL>2.0.CO;2-L}
}

@article{ZWXXZ17-jmlr,
  author = {Shun Zheng and Jialei Wang and Fen Xia and Wei Xu and Tong Zhang},
  title = {A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization},
  journal = {Journal of Machine Learning Research},
  year = {2017},
  volume = {18},
  number = {115},
  pages = {1-52},
  url = {http://jmlr.org/papers/v18/16-463.html}
}

@article{LWLZ17-mathprog,
  author = {Chris J. Li and Mengdi Wang and Han Liu and Tong Zhang},
  title = {Near-Optimal Stochastic Approximation for Online Principal Component Estimation},
  journal = {Mathematical Programming},
  pages = {75--97},
  volume = {167},
  url = {https://arxiv.org/abs/1603.05305},
  year = 2018
}

@article{YuanLiZhang18-jmlr,
  author = {Xiao-Tong Yuan and Ping Li and Tong Zhang},
  title = {Gradient Hard Thresholding Pursuit},
  journal = {Journal of Machine Learning Research},
  year = {2018},
  volume = {18},
  number = {166},
  pages = {1-43},
  url = {http://jmlr.org/papers/v18/14-415.html}
}

@article{DHYZ18-it,
  author = {Dong Dai and Lei Han and Ting Yang and Tong Zhang},
  journal = {IEEE Transactions on Information Theory},
  title = {Bayesian Model Averaging With Exponentiated Least Squares Loss},
  year = {2018},
  volume = {64},
  number = {5},
  pages = {3331-3345},
  url = {http://tongzhang-ml.org/papers/it18-ma.pdf},
  doi = {10.1109/TIT.2018.2805903}
}

@article{TACL18-tacl,
  author = {Tu, Zhaopeng  and Liu, Yang  and Shi, Shuming  and Zhang, Tong },
  title = {Learning to Remember Translation History with a Continuous Cache},
  journal = {Transactions of the Association for Computational Linguistics},
  volume = {6},
  year = {2018},
  issn = {2307-387X},
  url = {http://tongzhang-ml.org/papers/tacl18.pdf},
  pages = {407--420}
}

@article{HLWZZW18-bioinfo,
  author = {Lei Han and Lei Li and Feng Wen and Lei Zhong and Tong Zhang and Xiu-Feng Wan},
  title = {Graph-Guided Multi-Task Sparse Learning Model: a Method for Identifying Antigenic Variants of Influenza A(H3N2) Virus},
  journal = {Bioinformatics},
  volume = 105,
  pages = {769--782},
  year = 2018,
  url = {https://doi.org/10.1093/bioinformatics/bty457}
}

@article{TWLZ18,
  author = {Kean Ming Tan and Zhaoran Wang and Han Liu and Tong Zhang},
  title = {Sparse Generalized Eigenvalue Problem: Optimal Statistical Rates via Truncated {R}ayleigh Flow},
  journal = {Journal of the Royal Statistical Society: Series B},
  volume = 80,
  pages = {1057--1086},
  url = {https://arxiv.org/abs/1604.08697},
  year = 2018
}

@article{TWZLC18,
  author = {Kean Ming Tan and Zhaoran Wang and Tong Zhang and Han Liu and R. Dennis Cook},
  title = {A Convex Formulation For High-Dimensional Sparse Sliced Inverse Regression},
  journal = {Biometrika},
  year = 2018,
  volume = 105,
  number = 4,
  url = {https://arxiv.org/abs/1809.06024},
  pages = {769--782}
}

@article{LSZLZW19,
  author = {Wenhan Luo and Peng Sun and Fangwei Zhong and Wei Liu and Tong Zhang and Yizhou Wang},
  title = {End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume = 42,
  pages = {1317--1332},
  url = {https://arxiv.org/abs/1808.03405},
  year = 2020
}

@article{LCZLZ19,
  author = {Luo Luo and Cheng Chen and Zhihua Zhang and Wu-Jun Li and Tong Zhang},
  title = {Robust Frequent Directions with Application in Online Learning},
  journal = {Journal of Machine Learning Research},
  year = 2019,
  volume = 20,
  number = 45,
  pages = {1-41},
  url = {http://jmlr.org/papers/v20/17-773.html}
}

@article{WanZha19,
  author = {Jialei Wang and Tong Zhang},
  title = {Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations},
  journal = {Journal of Machine Learning Research},
  year = 2019,
  volume = 20,
  number = 42,
  pages = {1-56},
  url = {http://jmlr.org/papers/v20/17-594.html}
}

@article{GLJLZWZ19,
  author = {Jason Ge and Xingguo Li and Haoming Jiang and Han Liu and Tong Zhang and Mengdi Wang and Tuo Zhao},
  title = {Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python},
  journal = {Journal of Machine Learning Research},
  year = 2019,
  volume = 20,
  number = 44,
  pages = {1-5},
  url = {http://jmlr.org/papers/v20/17-722.html}
}

@article{TLZL19,
  author = {Kean Ming Tan and Junwei Lu and Tong Zhang and Han Liu},
  title = {Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models},
  journal = {Journal of Machine Learning Research},
  year = 2019,
  volume = 20,
  number = 119,
  pages = {1-38},
  url = {http://jmlr.org/papers/v20/17-525.html}
}

@article{CMSZ19-siopt,
  author = {Shixiang Chen and Shiqian Ma and Anthony Man-Cho So and Tong Zhang},
  title = {Proximal Gradient Method for Nonsmooth Optimization over the Stiefel Manifold},
  journal = {Siam Journal of Optimization},
  volume = 30,
  number = 1,
  pages = {210-239},
  url = {https://arxiv.org/abs/1811.00980},
  year = 2020
}

@article{WSZG20-ijcv,
  author = {Baoyuan Wu and Li Shen and Tong Zhang and Bernard Ghanem},
  title = {MAP Inference via L2-Sphere Linear Program Reformulation},
  journal = {International Journal of Computer Vision},
  url = {https://doi.org/10.1007/s11263-020-01313-2},
  year = 2020
}

@article{HTYZ20-aos,
  author = {Lei Han and Kean Ming Tan and Ting Yang and Tong Zhang},
  title = {Local uncertainty sampling for large-scale multiclass logistic regression},
  journal = {Ann. Statist.},
  fjournal = {Annals of Statistics},
  year = {2020},
  volume = {48},
  number = {3},
  pages = {1770-1788},
  issn = {0090-5364},
  doi = {10.1214/19-AOS1867},
  url = {https://arxiv.org/abs/1604.08098},
  sici = {0090-5364(2020)48:3<1770:LUSFLS>2.0.CO;2-6}
}

@article{TLZL20-biometrics,
  author = {Kean Ming Tan and Junwei Lu and Tong Zhang and Han Liu},
  title = {Estimating and Inferring the Maximum Degree of Stimulus-Locked Time-Varying Brain Connectivity Networks},
  journal = {Biometrics},
  year = 2020,
  url = {https://arxiv.org/pdf/1905.11588},
  doi = {10.1111/biom.13297},
  note = {to appear}
}

@article{JohZha20-cfggan,
  author = {Rie Johnson and Tong Zhang},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  title = {A Framework of Composite Functional Gradient Methods for Generative Adversarial Models},
  year = 2020,
  doi = {10.1109/TPAMI.2019.2924428},
  url = {https://ieeexplore.ieee.org/document/8744312},
  note = {to appear},
  codenote = {CFG-GAN Method for stabling training of GAN (in Pytorch)},
  coderef = {https://github.com/riejohnson/cfg-gan-pt}
}

@article{ZYLZB-21,
  author = {Kaiqing Zhang and Zhuoran Yang and Han Liu and Tong Zhang and Tamer Basar},
  title = {Finite-Sample Analysis For Decentralized Batch Multi-Agent
Reinforcement Learning With Networked Agents},
  journal = {IEEE Transactions on Automatic Control},
  url = {https://arxiv.org/pdf/1812.02783},
  doi = {10.1109/TAC.2021.3049345},
  note = {to appear},
  year = 2021
}

@article{FDZ-21,
  author = {Cong Fang and Hanze Dong and Tong Zhang},
  title = {Mathematical Models of Overparameterized Neural Networks},
  journal = {Proceedings of the IEEE},
  url = {https://arxiv.org/pdf/2012.13982},
  volume = 109,
  number = 5,
  pages = {683--703},
  year = 2021
}

@article{YMWZ21,
  author = {Minghan Yang and Andre Milzarek and Zaiwen Wen and Tong Zhang},
  title = {A Stochastic Extra-Step Quasi-Newton Method for Nonsmooth Nonconvex Optimization},
  journal = {Mathematical Programming},
  url = {https://arxiv.org/pdf/1910.09373},
  doi = {https://doi.org/10.1007/s10107-021-01629-y},
  year = 2021
}

@article{YeZh21,
  author = {Haishan Ye and Tong Zhang},
  title = {De{EPCA}: Decentralized Exact {PCA} with  Linear Convergence Rate},
  journal = {Journal of Machine Learning Research},
  year = 2021,
  volume = 22,
  number = 238,
  pages = {1-27},
  url = {http://jmlr.org/papers/v22/21-0298.html}
}

@article{FGZZ22-tit,
  author = {Cong Fang and Yihong Gu and Weizhong Zhang and Tong Zhang},
  title = {Convex Formulation of Overparameterized Deep Neural Networks},
  journal = {IEEE Transactions on Information Theory},
  year = 2022,
  volume = 68,
  number = 8,
  pages = {5340-5352},
  url = {https://ieeexplore.ieee.org/document/9745067}
}

@article{Zhang22-ts,
  author = {Zhang, Tong},
  title = {Feel-Good Thompson Sampling for Contextual Bandits and Reinforcement Learning},
  journal = {SIAM Journal on Mathematics of Data Science},
  volume = 4,
  number = 2,
  pages = {834-857},
  year = 2022,
  doi = {10.1137/21M140924X},
  url = {      https://doi.org/10.1137/21M140924X}
}

@article{shen2022disentangled,
  title = {Weakly Supervised Disentangled generative causal representation learning},
  author = {Shen, Xinwei and Liu, Furui and Dong, Hanze and Lian, Qing and Chen, Zhitang and Zhang, Tong},
  journal = {JMLR},
  volume = 23,
  pages = {1--55},
  url = {https://www.jmlr.org/papers/v23/21-0080.html},
  year = 2022
}

@article{FrMaZh2022-SGLD,
  author = {Yoav Freund and Yi-An Ma and Tong Zhang},
  title = {When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint},
  journal = {Journal of Machine Learning Research},
  year = {2022},
  volume = {23},
  number = {214},
  pages = {1--32},
  url = {http://jmlr.org/papers/v23/21-1489.html}
}

@article{diao2022black,
  title = {Black-box prompt learning for pre-trained language models},
  author = {Diao, Shizhe and Li, Xuechun and Lin, Yong and Huang, Zhichao and Zhang, Tong},
  journal = {Transactions on Machine Learning Research},
  url = {https://arxiv.org/abs/2201.08531},
  year = {2023}
}

@inproceedings{ZhOl00-icml,
  author = {Tong Zhang and Frank J. Oles},
  title = {A probability analysis on the value of unlabeled data for 
    classification problems},
  booktitle = {ICML 00},
  pages = {1191--1198},
  url = {http://tongzhang-ml.org/papers/icml00-unlabeled.pdf},
  year = 2000
}

@inproceedings{IAZ00,
  author = {Vijay S. Iyengar and  Chidanand Apte and Tong Zhang},
  title = {Active learning using adaptive resampling},
  booktitle = {The Sixth ACM SIGKDD International Conference on Knowledge 
                  Discovery and Data Mining},
  pages = {91--98},
  url = {http://tongzhang-ml.org/papers/kdd00-active.pdf},
  year = 2000
}

@inproceedings{Zhang00conv,
  author = {Tong Zhang},
  title = {Convergence of Large Margin Separable Linear Classification},
  booktitle = {Advances in Neural Information Processing Systems 13},
  pages = {357--363},
  url = {http://tongzhang-ml.org/papers/nips00-margin.pdf},
  year = 2000
}

@inproceedings{Zhang00winnow,
  author = {Tong Zhang},
  title = {Regularized {W}innow Methods},
  url = {http://tongzhang-ml.org/papers/nips00-rwinnow.pdf},
  booktitle = {Advances in Neural Information Processing Systems 13},
  pages = {703--709},
  year = 2000
}

@inproceedings{IZ01-pakdd,
  author = {Vijay S. Iyengar and Tong Zhang},
  title = {Empirical Study of Recommender Systems Using Linear Classifiers},
  booktitle = {The Fifth Pacific-Asia Conference on Knowledge 
                  Discovery and Data Mining},
  pages = {16--27},
  year = 2001
}

@inproceedings{Zhang01-sparse-icml,
  author = {Tong Zhang},
  title = {Some Sparse Approximation Bounds for Regression Problems},
  pages = {624--631},
  booktitle = {The Eighteenth International Conference on Machine Learning},
  fullref = {http://tongzhang-ml.org/papers/nc02_greedy.pdf},
  year = 2001
}

@inproceedings{ZDJ01-acl,
  author = {Tong Zhang and Fred Damerau and David E. Johnson},
  title = {Text Chunking using Regularized {W}innow},
  booktitle = {39th Annual Meeting of the Association for
                             Computational Linguistics},
  pages = {539--546},
  fullref = {http://tongzhang-ml.org/papers/jmlr02_chunking.pdf},
  year = 2001
}

@inproceedings{Zhang01-colt-seq,
  author = {Tong Zhang},
  title = {A Sequential Approximation Bound for Some Sample-Dependent
  Convex Optimization Problems with Applications in Learning},
  pages = {65--81},
  booktitle = {14th Annual Conference on Computational Learning Theory},
  url = {http://tongzhang-ml.org/papers/colt01-seq.pdf},
  year = 2001
}

@inproceedings{Zhang01-colt-loo,
  author = {Tong Zhang},
  title = {A Leave-one-out Cross Validation Bound for Kernel Methods
  with Applications in Learning},
  pages = {427--443},
  booktitle = {14th Annual Conference on Computational Learning Theory},
  fullref = {http://tongzhang-ml.org/papers/nc03_loo.pdf},
  year = 2001
}

@inproceedings{Zhang01-nips-greedy,
  author = {Tong Zhang},
  title = {A General Greedy Approximation Algorithm with Applications},
  booktitle = {Advances in Neural Information Processing Systems 14},
  editor = {T. G. Dietterich and S. Becker and Z. Ghahramani},
  publisher = {MIT Press},
  address = {Cambridge, MA},
  url = {http://tongzhang-ml.org/papers/nips01-greedy.pdf},
  fullref = {http://tongzhang-ml.org/papers/it03_greedy.pdf},
  year = 2001
}

@inproceedings{Zhang01-nips-gen,
  author = {Tong Zhang},
  title = {Generalization Performance of Some Learning Problems in {H}ilbert Functional Spaces},
  booktitle = {Advances in Neural Information Processing Systems 14},
  editor = {T. G. Dietterich and S. Becker and Z. Ghahramani},
  publisher = {MIT Press},
  address = {Cambridge, MA},
  url = {http://tongzhang-ml.org/papers/nips01-generr.pdf},
  year = 2001
}

@inproceedings{MMZ02,
  author = {Shie Mannor and Ron Meir and Tong Zhang},
  title = {The Consistency of Greedy Algorithms for Classification},
  booktitle = {COLT 02},
  year = 2002,
  url = {http://tongzhang-ml.org/papers/colt02-boost.pdf},
  fullref = {http://tongzhang-ml.org/papers/jmlr03-boost.pdf},
  pages = {319--333}
}

@inproceedings{Zhang02-consistency-icml,
  author = {Tong Zhang},
  title = {Statistical Behavior and Consistency of Support Vector Machines,
                  Boosting, and Beyond},
  booktitle = {ICML 02},
  pages = {690--697},
  fullref = {http://tongzhang-ml.org/papers/aos04_consistency.pdf},
  year = 2002
}

@inproceedings{Zhang02-nips-ker,
  author = {Tong Zhang},
  title = {Effective dimension and Generalization of Kernel Learning},
  booktitle = {NIPS 2002},
  fullref = {http://tongzhang-ml.org/papers/nc05-ker.pdf},
  year = 2002
}

@inproceedings{MeirZhang02-nips,
  author = {Ron Meir and Tong Zhang},
  title = {Data-Dependent Bounds for {B}ayesian Mixture Methods},
  booktitle = {NIPS 2002},
  fullref = {http://tongzhang-ml.org/papers/jmlr03-mixture.pdf},
  year = 2002
}

@inproceedings{DZWI02,
  author = {Fred J. Damerau and Tong Zhang and Sholom M. Weiss and Nitin Indurkhya},
  title = {Experiments in High-Dimensional Text Categorization},
  booktitle = {SIGIR 2002},
  fullref = {http://tongzhang-ml.org/papers/ipm04-new_reuters.pdf},
  year = 2002
}

@inproceedings{ZFJ03,
  author = {Tong Zhang and Fred Damerau and David E. Johnson},
  title = {Updating an NLP System to Fit New Domains: 
  an empirical study on the sentence segmentation problem},
  booktitle = {Proceedings CoNLL-2003},
  year = 2003,
  url = {http://tongzhang-ml.org/papers/conll03-adapt.pdf},
  pages = {56--62}
}

@inproceedings{FIJZ03,
  author = {Radu Florian and Abe Ittycheriah and Hongyan Jing and Tong Zhang},
  title = {Named Entity Recogintion through Classifier Combination},
  booktitle = {Proceedings CoNLL-2003},
  pages = {168--171},
  url = {http://tongzhang-ml.org/papers/conll03-fijz.pdf},
  year = 2003
}

@inproceedings{ZJ03,
  author = {Tong Zhang and David E. Johnson},
  title = {A Robust Risk Minimization based Named Entity Recognition System},
  booktitle = {Proceedings CoNLL-2003},
  pages = {204--207},
  url = {http://tongzhang-ml.org/papers/conll03-rrm.pdf},
  year = 2003
}

@inproceedings{ZhYu03,
  author = {Tong Zhang and Bin Yu},
  title = {On the Convergence of Boosting Procedures},
  booktitle = {ICML 03},
  year = 2003,
  fullref = {http://tongzhang-ml.org/papers/aos05-boost.pdf},
  pages = {904--911}
}

@inproceedings{JFLZI03,
  author = {Hongyan Jing and Radu Florian and Xiaoqiang Luo and Tong Zhang and Abraham Ittycheriah},
  title = {HowtogetaChineseName (Entity) : Segmentation and Combination Issues},
  booktitle = {EMNLP 2003},
  year = 2003,
  url = {http://tongzhang-ml.org/papers/emnlp03-chne.pdf},
  pages = {200-207}
}

@inproceedings{Zhang03-nips-bayes,
  author = {Tong Zhang},
  title = {Learning Bounds for a Generalized Family of {B}ayesian Posterior Distributions},
  booktitle = {NIPS 03},
  url = {http://tongzhang-ml.org/papers/nips03-bayes.pdf},
  year = 2003
}

@inproceedings{Zhang03-nips-mcat,
  author = {Tong Zhang},
  title = {An Infinity-sample Theory for Multi-category Large Margin Classification},
  booktitle = {NIPS 03},
  url = {http://tongzhang-ml.org/papers/nips03-multi_cat.pdf},
  year = 2003
}

@inproceedings{Zhang04-icml,
  author = {Tong Zhang},
  title = {Solving Large Scale Linear Prediction Problems Using
  Stochastic Gradient Descent Algorithms},
  booktitle = {ICML 04},
  year = 2004,
  url = {http://tongzhang-ml.org/papers/icml04-stograd.pdf},
  pages = {919--926}
}

@inproceedings{ZhPaZh04-sigir,
  author = {Li Zhang and Yue Pan and Tong Zhang},
  title = {Focused Named Entity Recognition using Machine Learning},
  booktitle = {SIGIR 04},
  url = {http://tongzhang-ml.org/papers/sigir04-focusedentity.pdf},
  year = 2004
}

@inproceedings{Zhang04-colt,
  author = {Tong Zhang},
  title = {On the Convergence of {MDL} Density Estimation},
  booktitle = {COLT 2004},
  year = 2004,
  url = {http://tongzhang-ml.org/papers/colt04-mdl.pdf},
  pages = {315--330}
}

@inproceedings{BiZhBe04,
  author = {Jinbo Bi and Tong Zhang and Kristin P. Bennett.},
  title = {Column-Generation Boosting Methods for Mixture of Kernels},
  booktitle = {KDD 2004},
  url = {http://tongzhang-ml.org/papers/kdd04-cgmix.pdf},
  year = 2004
}

@inproceedings{BiZh04-nips,
  author = {Jinbo Bi and Tong Zhang},
  title = {Support Vector Classification with Input Data Uncertainty},
  booktitle = {NIPS 04},
  url = {http://tongzhang-ml.org/papers/nips04-tsvc.pdf},
  year = 2004
}

@inproceedings{Zhang04-nips-multicat,
  author = {Tong Zhang},
  title = {Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category Classification Methods},
  booktitle = {NIPS 04},
  url = {http://tongzhang-ml.org/papers/nips04-multicat_gen.pdf},
  year = 2004
}

@inproceedings{Zhang05-colt-minmax,
  author = {Tong Zhang},
  title = {Localized Upper and Lower Bounds for Some Estimation Problems},
  booktitle = {COLT 05},
  url = {http://tongzhang-ml.org/papers/colt05-minmax.pdf},
  year = 2005
}

@inproceedings{Zhang05-colt-online,
  author = {Tong Zhang},
  title = {Data Dependent Concentration Bounds for Sequential Prediction Algorithms},
  booktitle = {COLT 05},
  url = {http://tongzhang-ml.org/papers/colt05-seq.pdf},
  year = 2005
}

@inproceedings{TilZha05,
  author = {Christoph Tillmann and Tong Zhang},
  title = {A Localized Prediction Model for Statistical Machine Translation},
  booktitle = {ACL 05},
  url = {http://tongzhang-ml.org/papers/acl05-mt.pdf},
  year = 2005
}

@inproceedings{AndoZha05,
  author = {Rie Kubota Ando and Tong Zhang},
  title = {A High-Performance Semi-Supervised Learning Method for  Text Chunking},
  booktitle = {ACL 05},
  url = {http://tongzhang-ml.org/papers/acl05-semi.pdf},
  year = 2005
}

@inproceedings{AndoZha05nips,
  author = {Tong Zhang and Rie K. Ando},
  title = {Analysis of Spectral Kernel Design based Semi-supervised Learning},
  booktitle = {NIPS 05},
  fullref = {http://tongzhang-ml.org/papers/it08-graph.pdf},
  year = 2005
}

@inproceedings{CossZha06:colt,
  author = {David Cossock and Tong Zhang},
  title = {Subset Ranking using Regression},
  booktitle = {Proc. COLT'06},
  fullref = {http://tongzhang-ml.org/papers/it08-ranking.pdf},
  year = 2006
}

@inproceedings{TilZha06,
  author = {Christoph Tillmann and Tong Zhang},
  title = {A Discriminative Global Training Algorithm for Statistical {MT}},
  booktitle = {ACL'06},
  url = {http://tongzhang-ml.org/papers/acl06-mt.pdf},
  fullref = {http://tongzhang-ml.org/papers/taslp08-mt.pdf},
  year = 2006
}

@inproceedings{ZhaPopDom06,
  author = {Tong Zhang and Alexandrin Popescul and Byron Dom},
  title = {Linear Prediction Models with Graph Regularization for Web-page Categorization},
  booktitle = {KDD'06},
  url = {http://tongzhang-ml.org/papers/kdd06-graph.pdf},
  year = 2006
}

@inproceedings{AndoZhang06,
  author = {Rie K. Ando and Tong Zhang},
  title = {Learning on Graph with {L}aplacian Regularization},
  booktitle = {NIPS'06},
  fullref = {http://tongzhang-ml.org/papers/jmlr07-graph.pdf},
  year = 2006
}

@inproceedings{AndoZhang07,
  author = {Rie K. Ando and Tong Zhang},
  title = {Two-view Feature Generation Model for Semi-supervised Learning},
  booktitle = {ICML'07},
  url = {http://tongzhang-ml.org/papers/icml07-twoview.pdf},
  year = 2007
}

@inproceedings{BalBroZha07,
  author = {Maria-Florina Balcan and Andrei Broder and Tong Zhang},
  title = {Margin Based Active Learning},
  booktitle = {COLT'07},
  url = {http://tongzhang-ml.org/papers/colt07-active.pdf},
  year = 2007
}

@inproceedings{BrFoGaJoZh07,
  author = {Andrei Broder and Marcus Fontoura and Evgeniy Gabrilovich and
Amruta Joshi and Vanja Josifovski and Tong Zhang},
  title = {Robust Classification of Rare Queries Using Web Knowledge},
  booktitle = {SIGIR'07},
  url = {http://tongzhang-ml.org/papers/sigir07.pdf},
  year = 2007
}

@inproceedings{LangZhang07,
  author = {John Langford and Tong Zhang},
  title = {The {E}poch-{G}reedy Algorithm for Multi-armed Bandits with Side Information},
  booktitle = {NIPS'07},
  url = {http://tongzhang-ml.org/papers/nips07-bandits.pdf},
  year = 2007
}

@inproceedings{ZZZCCS07,
  author = {Zhaohui Zheng and Hongyuan Zha and Tong Zhang and Olivier Chapelle and Keke Chen and Gordon Sun},
  title = {A General Boosting Method and its Application to Learning Ranking Functions for Web Search},
  booktitle = {NIPS'07},
  url = {http://tongzhang-ml.org/papers/nips07-ranking.pdf},
  year = 2007
}

@inproceedings{LLSZ08-nips,
  author = {John Langford and Lihong Li and Tong Zhang},
  title = {Sparse Online Learning via Truncated Gradient},
  booktitle = {NIPS'08},
  url = {http://tongzhang-ml.org/papers/nips08-sparseonline.pdf},
  year = 2008
}

@inproceedings{Zhang08-foba-nips,
  author = {Tong Zhang},
  title = {Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models},
  booktitle = {NIPS'08},
  url = {http://tongzhang-ml.org/papers/nips08-foba.pdf},
  coderef = {http://tongzhang-ml.org/code/foba.zip},
  fullref = {http://tongzhang-ml.org/papers/it11-foba.pdf},
  year = 2008
}

@inproceedings{Zhang08-multistage-nips,
  author = {Tong Zhang},
  title = {Multi-stage Convex Relaxation for Learning with Sparse Regularization},
  booktitle = {NIPS'08},
  url = {http://tongzhang-ml.org/papers/nips08-multistage.pdf},
  fullref = {http://jmlr.org/papers/v11/zhang10a.htm},
  coeref = {http://tongzhang-ml.org/code/muscor.zip},
  year = 2008
}

@inproceedings{HuZhMe09-icml,
  author = {Junzhou Huang and Tong Zhang and Dimitris Metaxas},
  title = {Learning with Structured Sparsity},
  booktitle = {International Conference on Machine Learning 2009},
  year = 2009,
  url = {http://tongzhang-ml.org/papers/icml09-sparsity.pdf},
  fullref = {http://tongzhang-ml.org/papers/jmlr11-structsparsity.pdf}
}

@inproceedings{LaSaZh09-icml,
  author = {John Langford and Ruslan Salakhutdinov and Tong Zhang},
  title = {Learning Nonlinear Dynamic Models},
  booktitle = {ICML' 09},
  url = {http://tongzhang-ml.org/papers/icml09-dm.pdf},
  year = 2009
}

@inproceedings{HKZ09-colt,
  author = {Daniel Hsu and Sham M. Kakade and Tong Zhang},
  title = {A Spectral Algorithm for Learning Hidden Markov Models},
  booktitle = {COLT' 09},
  url = {http://tongzhang-ml.org/papers/arxiv0811.4413.pdf},
  fullref = {http://tongzhang-ml.org/papers/arxiv0811.4413.pdf},
  year = 2009
}

@inproceedings{HKLZ09-nips,
  author = {Daniel Hsu and Sham M. Kakade and John Langford and Tong Zhang},
  title = {Multi-label prediction via compressed sensing},
  booktitle = {NIPS' 09},
  url = {http://tongzhang-ml.org/papers/nips09-multilabel.pdf},
  year = 2009
}

@inproceedings{YZG09-nips,
  author = {Kai Yu and Tong Zhang and Yihong Gong},
  title = {Nonlinear Learning using Local Coordinate Coding},
  booktitle = {NIPS' 09},
  url = {http://tongzhang-ml.org/papers/nips09-lcc.pdf},
  fullref = {http://tongzhang-ml.org/papers/tr-lcc.pdf},
  year = 2009
}

@inproceedings{YuZhang10-icml,
  author = {Kai Yu and Tong Zhang},
  title = {Improved Local Coordinate Coding using Local Tangents},
  booktitle = {ICML' 10},
  url = {http://tongzhang-ml.org/papers/icml10-lcc.pdf},
  year = 2010
}

@inproceedings{ZYZH10,
  author = {Xi Zhou and Kai Yu and Tong Zhang and Thomas Huang},
  title = {Image Classification using Super-Vector Coding of Local Image Descriptors},
  booktitle = {ECCV'10},
  url = {http://tongzhang-ml.org/papers/eccv10_supervect.pdf},
  year = 2010
}

@inproceedings{BHLZ10-nips,
  author = {Alina Beygelzimer and Daniel Hsu and John Langford and Tong Zhang},
  title = {Agnostic Active Learning Without Constraints},
  booktitle = {NIPS' 10},
  url = {https://arxiv.org/abs/1006.2588},
  year = 2010
}

@inproceedings{LZZY10-nips,
  author = {Yuanqing Lin and Tong Zhang and Shenghuo Zhu and Kai Yu},
  title = {Deep Coding Network},
  booktitle = {NIPS' 10},
  url = {http://tongzhang-ml.org/papers/nips10-oracle.pdf},
  year = 2010
}

@inproceedings{DHKKLRZ11,
  author = {Miroslav Dudik and Daniel Hsu and Satyen Kale and Nikos Karampatziakis and John Langford and Lev Reyzin and Tong Zhang},
  title = {Efficient Optimal Learning for Contextual Bandits},
  booktitle = {UAI'01},
  url = {http://tongzhang-ml.org/papers/uai11-bandits.pdf},
  fullref = {http://arxiv.org/abs/1106.2369},
  year = 2011
}

@inproceedings{DaiZha11-nips,
  author = {Dong Dai and Tong Zhang},
  title = {Greedy Model Averaging},
  booktitle = {NIPS' 11},
  url = {http://arxiv.org/abs/1203.2507},
  year = 2011
}

@inproceedings{LNCZGH11-nips,
  author = {Zhen Li and Huazhong Ning and Liangliang Cao and Tong Zhang, Yihong Gong, Thomas Huang},
  title = {Learning to Search Efficiently in High Dimensions},
  booktitle = {NIPS' 11},
  url = {http://tongzhang-ml.org/papers/nips11-lts.pdf},
  year = 2011
}

@inproceedings{ACHKSZ11-nips,
  author = {Animashree Anandkumar and Kamalika Chaudhuri and Daniel Hsu and Sham M. Kakade and Le Song and Tong Zhang},
  title = {Spectral Methods for Learning Multivariate Latent Tree Structure},
  booktitle = {NIPS' 11},
  url = {http://arxiv.org/abs/1107.1283},
  year = 2011
}

@inproceedings{HsShZh12-colt,
  author = {Daniel Hsu and Sham M. Kakade and Tong Zhang},
  title = {Random Design Analysis of Ridge Regression},
  booktitle = {COLT'12},
  fullref = {http://arxiv.org/abs/1106.2363},
  year = 2012
}

@inproceedings{XiaoZhang12-icml,
  author = { Lin Xiao and Tong Zhang},
  title = {A Proximal-Gradient Homotopy Method for the {L}1-Regularized Least-Squares Problem},
  booktitle = {ICML'12},
  fullref = {http://arxiv.org/abs/1203.3002},
  year = 2012
}

@inproceedings{GZDH12-nips,
  author = {Quanquan Gu and Tong Zhang and Chris Ding and Jiawei Han},
  title = {Selective Labeling via Error Bound Minimization},
  booktitle = {NIPS'12},
  url = {http://tongzhang-ml.org/papers/nips12-selectivelabeling.pdf},
  year = 2012
}

@inproceedings{ShamirZhang13,
  author = {Ohad Shamir and Tong Zhang},
  title = {Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes},
  booktitle = {ICML'13},
  url = {http://tongzhang-ml.org/papers/icml13-lastpredictor.pdf},
  year = 2013
}

@inproceedings{BaKaZh13,
  author = {Krishnakumar Balasubramanian and Kai Yu and Tong Zhang},
  title = {High-dimensional Joint Sparsity Random Effects Model for Multi-task Learning},
  booktitle = {UAI'13},
  url = {http://tongzhang-ml.org/papers/uai13-scc.pdf},
  year = 2013
}

@inproceedings{SchZha13-minibatch,
  author = {Shai Shalev-Schwartz and Tong Zhang},
  title = {Accelerated Mini-Batch Stochastic Dual Coordinate Ascent},
  booktitle = {NIPS' 13},
  url = {http://arxiv.org/abs/1305.2581},
  year = 2013
}

@inproceedings{JohZha13,
  author = {Rie Johnson and Tong Zhang},
  title = {Accelerating Stochastic Gradient Descent using Predictive Variance Reduction},
  booktitle = {NIPS' 13},
  url = {http://tongzhang-ml.org/papers/nips13-svrg.pdf},
  year = 2013
}

@inproceedings{LZCS14-kdd,
  author = {Mu Li and Tong Zhang and Yuqiang Chen and Alexander Smola},
  title = {Efficient Mini-batch Training for Stochastic Optimization},
  booktitle = {KDD},
  url = {http://tongzhang-ml.org/papers/kdd14.pdf},
  year = 2014
}

@inproceedings{ShaZha14-icml,
  author = {Shai Shalev-Shwartz and Tong Zhang},
  title = {Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization},
  booktitle = {ICML' 14},
  fullref = {http://arxiv.org/abs/1309.2375},
  year = 2014
}

@inproceedings{ShSrZh14-icml,
  author = {Ohad Shamir and Nathan Srebro and Tong Zhang},
  title = {Communication-Efficient Distributed Optimization using an Approximate Newton-type Method},
  booktitle = {ICML' 14},
  url = {http://arxiv.org/abs/1312.7853},
  year = 2014
}

@inproceedings{YuLiZh14-icml,
  author = {Xiaotong Yuan and Ping Li and Tong Zhang},
  title = {Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization},
  booktitle = {ICML' 14},
  url = {http://arxiv.org/abs/1311.5750},
  year = 2014
}

@inproceedings{LiZhZh14-colt,
  author = {Ping Li and Cun-Hui Zhang and Tong Zhang},
  title = {Compressed Counting Meets Compressed Sensing},
  booktitle = {COLT' 14},
  url = {http://arxiv.org/abs/1310.1076},
  year = 2014
}

@inproceedings{JohnsonZhang15-naccl,
  author = {Rie Johnson and Tong Zhang},
  title = {Effective Use of Word Order for Text Categorization with Convolutional Neural Networks},
  booktitle = {NAACL' 15},
  url = {http://arxiv.org/abs/1412.1058},
  coderef = {https://github.com/riejohnson/ConText},
  year = 2015
}

@inproceedings{ZhaoZhang15-icml-imp,
  author = {Peilin Zhao and Tong Zhang},
  title = {Stochastic Optimization with Importance Sampling for Regularized Loss Minimization},
  booktitle = {ICML' 15},
  url = {http://tongzhang-ml.org/papers/icml15-sois.pdf},
  year = 2015
}

@inproceedings{ZhaYanZhaLi15-icml-admm,
  author = {Peilin Zhao and Jinwei Yang and Tong Zhang and Ping Li},
  title = {Adaptive Stochastic Alternating Direction Method of Multipliers},
  booktitle = {ICML' 15},
  url = {http://tongzhang-ml.org/papers/icml15-asadmm.pdf},
  year = 2015
}

@inproceedings{TZXZZ15-www,
  author = {Tian Tian and Jun Zhu and Fen Xia and Xin Zhuang and Tong Zhang},
  title = {Crowd Fraud Detection in Internet Advertising},
  booktitle = {WWW' 15},
  url = {http://tongzhang-ml.org/papers/www15-fraud.pdf},
  year = 2015
}

@inproceedings{VaLiZh15-nips,
  author = {Daniel Vainsencher and Han Liu and Tong Zhang},
  title = {Local Smoothness in Variance Reduced Optimization},
  booktitle = {NIPS},
  url = {http://tongzhang-ml.org/papers/nips15-localsmooth.pdf},
  year = 2015
}

@inproceedings{QuRiZh15-nips,
  author = {Zheng Qu and Peter Richtarik and Tong Zhang},
  title = {Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling},
  booktitle = {NIPS},
  url = {http://arxiv.org/abs/1411.5873},
  year = 2015
}

@inproceedings{JohnsonZhang15-nips,
  author = {Rie Johnson and Tong Zhang},
  title = {Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding},
  booktitle = {NIPS},
  url = {http://arxiv.org/abs/1504.01255},
  coderef = {https://github.com/riejohnson/ConText},
  year = 2015
}

@inproceedings{YWLEZ16-icml,
  author = {Zhuoran Yang and Zhaoran Wang and Han Liu and Yonina C. Eldar and Tong Zhang},
  title = {Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity},
  booktitle = {ICML},
  url = {http://tongzhang-ml.org/papers/icml16-nonlinear.pdf},
  year = 2016
}

@inproceedings{JonsonZhang16-icml,
  author = {Rie Johnson and Tong Zhang},
  title = {Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings},
  booktitle = {ICML},
  url = {http://tongzhang-ml.org/papers/icml16-text.pdf},
  coderef = {https://github.com/riejohnson/ConText},
  year = 2016
}

@inproceedings{HZWZ16-kdd,
  author = {Lei Han and Yu Zhang and Xiu-Feng Wan and Tong Zhang},
  title = {Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data},
  booktitle = {KDD' 16},
  url = {http://tongzhang-ml.org/papers/kdd16-ghsm.pdf},
  year = 2016
}

@inproceedings{HaZhZh16-kdd,
  author = {Lei Han and Yu Zhang and Tong Zhang},
  title = {Fast Component Pursuit for Large-Scale Inverse Covariance Estimation},
  booktitle = {KDD' 16},
  url = {http://tongzhang-ml.org/papers/kdd16-cop.pdf},
  year = 2016
}

@inproceedings{YLZ16-nips,
  author = {Xiaotong Yuan and Ping Li and Tong Zhang},
  title = {Exact Recovery of Hard Thresholding Pursuit},
  booktitle = {NIPS},
  url = {http://tongzhang-ml.org/papers/nips16-htp.pdf},
  year = 2016
}

@inproceedings{YLZLL16-nips,
  author = {Xiaotong Yuan and Ping Li and Tong Zhang and Qingshan Liu and Guangcan Liu},
  title = {Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-norm Regularized $M$-Estimation},
  booktitle = {NIPS},
  url = {http://tongzhang-ml.org/papers/nips16-gm.pdf},
  year = 2016
}

@inproceedings{JohZha17-acl,
  author = {Rie Johnson and Tong Zhang},
  title = {Deep Pyramid Convolutional Neural Networks for Text Categorization},
  booktitle = {ACL},
  url = {http://tongzhang-ml.org/papers/acl17.pdf},
  coderef = {https://github.com/riejohnson/ConText},
  year = 2017
}

@inproceedings{WKSZ17-icml,
  author = {Jialei Wang and Mladen Kolar and Nathan Srebro and Tong Zhang},
  title = {Efficient Distributed Learning with Sparsity},
  booktitle = {ICML},
  url = {http://tongzhang-ml.org/papers/icml17-distr.pdf},
  fullref = {https://arxiv.org/abs/1605.07991},
  year = 2017
}

@inproceedings{ZZLHZZ17-icml,
  author = {Wenpeng Zhang and Peilin Zhao and Wei Liu and Steven Hoi and Wenwu Zhu and Tong Zhang},
  title = {Projection-Free Distributed Online Learning in Networks},
  booktitle = {ICML},
  url = {http://tongzhang-ml.org/papers/icml17-proj.pdf},
  year = 2017
}

@inproceedings{LYGHZZ17-nips,
  author = {Xingguo  Li and Lin  Yang and Jason  Ge and Jarvis  Haupt and Tong  Zhang and Tuo  Zhao},
  title = {On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning},
  booktitle = {NIPS},
  url = {http://tongzhang-ml.org/papers/nips-dc-newton.pdf},
  year = 2017
}

@inproceedings{LiWaZh17-nips,
  author = {Chris Junchi Li and Mengdi Wang and Tong Zhang},
  title = {Diffusion Approximations for Online Principal Component Estimation and Global Convergence},
  booktitle = {NIPS},
  year = 2017
}

@inproceedings{ZhHoMaLiZh18-icml,
  author = {Weizhong Zhang and Bin Hong and Lin Ma and Wei Liu and Tong Zhang},
  title = {Safe Element Screening for Submodular Function Minimization},
  booktitle = {ICML},
  url = {http://tongzhang-ml.org/papers/icml17-proj.pdf},
  year = 2018
}

@inproceedings{WuHuHuZh18-icml,
  author = {Jiaxiang Wu and Weidong Huang and Junzhou Huang and Tong Zhang},
  title = {Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization},
  booktitle = {ICML},
  url = {http://tongzhang-ml.org/papers/icml18-wu.pdf},
  year = 2018
}

@inproceedings{JohnsonZhang18-icml,
  author = {Rie Johnson and Tong Zhang},
  title = {Composite Functional Gradient Learning of Generative Adversarial Models},
  booktitle = {ICML},
  url = {http://tongzhang-ml.org/papers/icml18-johnson.pdf},
  fullref = {http://tongzhang-ml.org/papers/tpami20-cfggan.pdf},
  coderef = {https://github.com/riejohnson/cfg-gan-pt},
  year = 2018
}

@inproceedings{SuTaLiZh18-icml,
  author = {Qiang Sun and Kean Ming Tan and Han Liu and Tong Zhang},
  title = {Graphical Nonconvex Optimization via an Adaptive Convex Relaxation},
  booktitle = {ICML},
  url = {http://tongzhang-ml.org/papers/icml18-sun.pdf},
  year = 2018
}

@inproceedings{HaHuZh18-icml,
  author = {Lei Han and Yiheng Huang and Tong Zhang},
  title = {Candidates vs. Noises Estimation for Large Multi-Class Classification Problem},
  booktitle = {ICML},
  url = {http://tongzhang-ml.org/papers/icml18-han.pdf},
  year = 2018
}

@inproceedings{ZYLZB18-icml,
  author = {Kaiqing Zhang and Zhuoran Yang and Han Liu and Tong Zhang and Tamer Basar},
  title = {Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents},
  booktitle = {ICML},
  url = {http://tongzhang-ml.org/papers/icml18-zhang-rl.pdf},
  year = 2018
}

@inproceedings{FLLZ18-nips,
  title = { {SPIDER}: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator},
  author = {Fang, Cong and Li, Chris Junchi and Lin, Zhouchen and Zhang, Tong},
  booktitle = {NIPS},
  year = 2018,
  url = {http://papers.nips.cc/paper/7349-spider-near-optimal-non-convex-optimization-via-stochastic-path-integrated-differential-estimator}
}

@inproceedings{CZTZ18-nips,
  author = {Jianfei Chen and Jun Zhu and Yee Whye Teh and Tong Zhang},
  title = {Stochastic Expectation Maximization with Variance Reduction},
  booktitle = {NIPS},
  url = {https://papers.nips.cc/paper/8021-stochastic-expectation-maximization-with-variance-reduction},
  year = 2018
}

@inproceedings{TZMML18-nips,
  author = {Conghui Tan and Tong Zhang and Shiqian Ma and Ji Liu},
  title = {Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity},
  booktitle = {NIPS},
  url = {https://papers.nips.cc/paper/8057-stochastic-primal-dual-method-for-empirical-risk-minimization-with-o1-per-iteration-complexity},
  year = 2018
}

@inproceedings{WXHSLZ18-nips,
  author = {Qing Wang and Jiechao Xiong and Lei Han and Peng Sun and Han Liu and Tong Zhang},
  title = {Exponentially Weighted Imitation Learning for Batched Historical Data},
  booktitle = {NIPS},
  url = {https://papers.nips.cc/paper/7866-exponentially-weighted-imitation-learning-for-batched-historical-data},
  year = 2018
}

@inproceedings{TGZZL18-nips,
  author = {Hanlin Tang and Shaoduo Gan and Ce Zhang and Tong Zhang and Ji Liu},
  title = {Communication Compression for Decentralized Training},
  booktitle = {NIPS},
  url = {https://papers.nips.cc/paper/7992-communication-compression-for-decentralized-training},
  year = 2018
}

@inproceedings{WWLZ18-nips,
  author = {Jianqiao Wangni and Jialei Wang and Ji Liu and Tong Zhang},
  title = {Gradient Sparsification for Communication-Efficient Distributed Optimization},
  booktitle = {NIPS},
  url = {https://papers.nips.cc/paper/7405-gradient-sparsification-for-communication-efficient-distributed-optimization},
  year = 2018
}

@inproceedings{FZSGXZ19-iclr,
  author = {Meng Fang and Cheng Zhou and Bei Shi and Boqing Gong and Jia Xu and Tong Zhang},
  title = { {DHER}: Hindsight Experience Replay for Dynamic Goals},
  booktitle = {ICLR},
  url = {http://tongzhang-ml.org/papers/iclr19-dher.pdf},
  year = 2019
}

@inproceedings{HSDXWSLZ19-icml,
  author = {Lei Han and Peng Sun and Yali Du and Jiechao Xiong and Qing Wang and Xinghai Sun and Han Liu and Tong Zhang},
  title = {Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI},
  booktitle = {ICML},
  url = {http://tongzhang-ml.org/papers/icml19-marl.pdf},
  year = 2019
}

@inproceedings{LLWZZG19-icml,
  author = {Yandong Li and Lijun Li and Liqiang Wang and Tong Zhang and Boqing Gong},
  title = { {NATTACK}: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks},
  booktitle = {ICML},
  url = {http://tongzhang-ml.org/papers/icml19-nattack.pdf},
  year = 2019
}

@inproceedings{TLYZL19-icml,
  author = {Hanlin Tang and Xiangru Lian and Chen Yu and Tong Zhang and Ji Liu},
  title = { {DOUBLESQUEEZE}: Parallel Stochastic Gradient Descent with Double-passError-Compensated Compression},
  booktitle = {ICML},
  url = {http://tongzhang-ml.org/papers/icml19_ec.pdf},
  year = 2019
}

@inproceedings{LSZZ19-acl,
  author = {Miaofeng Liu and Yan Song and Hongbin Zou and Tong Zhang},
  title = {Reinforced Training Data Selection for Domain Adaptation},
  booktitle = {ACL},
  url = {http://tongzhang-ml.org/papers/acl19-adapt.pdf},
  year = 2019
}

@inproceedings{WLXZ19-nips,
  author = {Qing Wang and Yingru Li and Jiechao Xiong and Tong Zhang},
  title = {Divergence-Augmented Policy Optimization},
  booktitle = {Neurips},
  url = {http://tongzhang-ml.org/papers/nips19-po.pdf},
  year = 2019
}

@inproceedings{FLZ19-colt,
  author = {Cong Fang and Zhouchen Lin and Tong Zhang},
  title = {Sharp Analysis for Nonconvex SGD Escaping from Saddle Points},
  booktitle = {COLT},
  url = {https://arxiv.org/abs/1902.00247},
  year = 2019
}

@inproceedings{HuaZha20-iclr,
  author = {Zhichao Huang and Tong Zhang},
  title = { Black-Box Adversarial Attack with Transferable Model-based Embedding},
  booktitle = {ICLR},
  url = {https://arxiv.org/abs/1911.07140},
  year = 2020
}

@inproceedings{HYSZ20-cvpr,
  author = {Chaoyang He and Haishan Ye and Li Shen and Tong Zhang},
  title = { {M}i{L}e{NAS}: Efficient Neural Architecture Search via Mixed-Level Reformulation},
  booktitle = {CVPR},
  url = {https://arxiv.org/abs/2003.12238},
  year = 2020
}

@inproceedings{JohZha20-icml,
  author = {Rie Johnson and Tong Zhang},
  title = {Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization},
  booktitle = {ICML},
  url = {https://arxiv.org/abs/2006.16840},
  codenote = {GULF method for neural network training with improved generalization},
  coderef = {https://github.com/riejohnson/gulf},
  year = 2020
}

@inproceedings{LYHZ20-sreda,
  author = {Luo Luo and Haishan Ye and Zhichao Huang and Tong Zhang},
  title = {Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems},
  booktitle = {Neurips},
  url = {https://arxiv.org/abs/2001.03724},
  year = 2020
}

@inproceedings{SPXLKZ20-bridging,
  author = {Han Shi and Renjie Pi and Hang Xu and Zhenguo Li and James Tin-Yau Kwok and Tong Zhang},
  title = {Bridging the Gap between Sample-based and One-shot Neural Architecture Search with {BONAS}},
  booktitle = {Neurips},
  url = {https://arxiv.org/abs/1911.09336},
  year = 2020
}

@inproceedings{chen2020mean,
  title = {A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks},
  author = {Chen, Zixiang and Cao, Yuan and Gu, Quanquan and Zhang, Tong},
  url = {https://arxiv.org/abs/2002.04026},
  booktitle = {Neurips},
  year = 2020
}

@inproceedings{YZLZ20-decentralized,
  author = {Haishan Ye and Ziang Zhou and Luo Luo and Tong Zhang},
  title = {Decentralized Accelerated Proximal Gradient Descent},
  booktitle = {Neurips},
  url = {https://dl.acm.org/doi/pdf/10.5555/3495724.3497261},
  year = 2020
}

@inproceedings{ZGFLZ20-landscape,
  author = {Weizhong Zhang and Yihong Gu and Cong Fang and Jason Lee and Tong Zhang},
  title = {How to Characterize The Landscape of Overparameterized Convolutional Neural Networks},
  booktitle = {Neurips},
  url = {https://proceedings.neurips.cc/paper/2020/hash/2794f6a20ee0685f4006210f40799acd-Abstract.html},
  year = 2020
}

@inproceedings{tian2020improving,
  title = {Improving Chinese Word Segmentation with Wordhood Memory Networks},
  author = {Tian, Yuanhe and Song, Yan and Xia, Fei and Zhang, Tong and Wang, Yonggang},
  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
  pages = {8274--8285},
  url = {https://www.aclweb.org/anthology/2020.acl-main.734/},
  year = {2020}
}

@inproceedings{DBSZW20-zen,
  author = {Diao, Shizhe and Bai, Jiaxin and Song, Yan and Zhang, Tong and Wang, Yonggang},
  title = { {ZEN}: pre-training chinese text encoder enhanced by n-gram representations},
  booktitle = {Findings of EMNLP},
  codenote = {ZEN: n-gram enhanced BERT-like pretraining method for Chinese Text (in Pytorch)},
  url = {https://arxiv.org/abs/1911.00720},
  coderef = {https://github.com/sinovation/ZEN},
  year = 2020
}

@inproceedings{huang2021few,
  title = {Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling},
  author = {Huang, Zhichao and Han, Xintong and Xu, Jia and Zhang, Tong},
  booktitle = {CVPR},
  url = {https://arxiv.org/abs/2103.14338},
  year = 2021
}

@inproceedings{zhou2021effective,
  title = {Effective Sparsification of Neural Networks with Global Sparsity Constraint},
  author = {Zhou, Xiao and Zhang, Weizhong and Xu, Hang and Zhang, Tong},
  url = {https://arxiv.org/abs/2105.01571},
  booktitle = {CVPR},
  year = {2021}
}

@inproceedings{li2021involution,
  title = {Involution: Inverting the inherence of convolution for visual recognition},
  author = {Li, Duo and Hu, Jie and Wang, Changhu and Li, Xiangtai and She, Qi and Zhu, Lei and Zhang, Tong and Chen, Qifeng},
  url = {https://arxiv.org/abs/2103.06255},
  booktitle = {CVPR},
  year = {2021}
}

@inproceedings{DXSJSZ2021acl,
  author = {Shizhe Diao and Ruijia Xu and Hongjin Su and Yilei Jiang and Yan Song and Tong Zhang},
  title = {Taming Pre-trained Language Models with {N}-gram Representations for Low-Resource Domain Adaptation},
  booktitle = {ACL},
  url = {https://aclanthology.org/2021.acl-long.259.pdf},
  year = 2021
}

@inproceedings{DSSSZ2021acl,
  author = {Shizhe Diao and Xinwei Shen and Kashun Shum and Yan Song and Tong Zhang,},
  title = { {TILGAN}: Transformer-based Implicit Latent {GAN} for Diverse and Coherent Text Generation},
  booktitle = {Findings of ACL},
  url = {https://aclanthology.org/2021.findings-acl.428.pdf},
  year = 2021
}

@inproceedings{DYZZ2021-kdd,
  author = {Yuhui Ding and Quanming Yao and Huan Zhao and Tong Zhang},
  title = {DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks},
  booktitle = {KDD},
  url = {https://arxiv.org/abs/2010.03250},
  coderef = {https://github.com/AutoML-Research/DiffMG},
  year = 2021
}

@inproceedings{FLYZ2021-colt,
  author = {Cong Fang and Jason D. Lee and Pengkun Yang and Tong Zhang},
  title = {Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks},
  booktitle = {COLT},
  url = {https://arxiv.org/abs/2007.01452},
  year = 2021
}

@inproceedings{ZZCDZ2021-neurips,
  author = {Xiao Zhou and Weizhong Zhang and Zonghao Chen and Shizhe Diao and Tong Zhang},
  title = {Efficient Neural Network Training via Forward and Backward Propagation Sparsification},
  booktitle = {Neurips},
  url = {https://proceedings.neurips.cc/paper/2021/hash/80f2f15983422987ea30d77bb531be86-Abstract.html},
  year = 2021
}

@inproceedings{QRZ2021-neurips,
  author = {Xun Qian and Peter Richtarik and Tong Zhang},
  title = {Error Compensated Distributed SGD can be Accelerated},
  booktitle = {Neurips},
  url = {https://proceedings.neurips.cc/paper/2021/hash/ff1ced3097ccf17c1e67506cdad9ac95-Abstract.html},
  year = 2021
}

@inproceedings{DMZZ2021-neurips,
  author = {Christoph Dann and Mehryar Mohri and Tong Zhang and Julian Zimmert},
  title = {A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning},
  booktitle = {Neurips},
  url = {https://arxiv.org/abs/2208.10904},
  year = 2021
}

@inproceedings{PYZ22-iclr-eigencurve,
  title = {Eigencurve: Optimal Learning Rate Schedule for {SGD} on Quadratic Objectives with Skewed Hessian Spectrums},
  author = {Rui Pan and Haishan Ye and Tong Zhang},
  booktitle = {International Conference on Learning Representations},
  year = {2022},
  url = {https://openreview.net/forum?id=rTAclwH46Tb}
}

@inproceedings{LLZZL22-iclr-hyperdqn,
  title = {Hyper{DQN}: A Randomized Exploration Method for Deep Reinforcement Learning},
  author = {Ziniu Li and Yingru Li and Yushun Zhang and Tong Zhang and Zhi-Quan Luo},
  booktitle = {International Conference on Learning Representations},
  year = {2022},
  url = {https://openreview.net/forum?id=X0nrKAXu7g-}
}

@inproceedings{LDWZ22-cvpr-irm,
  title = {Bayesian Invariant Risk Minimization},
  author = {Yong Lin and Hanze Dong and Hao Wang and Tong Zhang},
  booktitle = {CVPR},
  url = {https://openaccess.thecvf.com/content/CVPR2022/papers/Lin_Bayesian_Invariant_Risk_Minimization_CVPR_2022_paper.pdf},
  year = {2022}
}

@inproceedings{LYXYZ22-cvpr-detection,
  title = {Exploring Geometric Consistency for Monocular 3D Object Detection},
  author = {Qing Lian and Botao Ye and Ruijia Xu and Weilong Yao and Tong Zhang},
  booktitle = {CVPR},
  url = {https://arxiv.org/abs/2104.05858},
  year = {2022}
}

@inproceedings{SZSZ22-acl,
  author = {Ying Su and Hongming Zhang and Yangqiu Song and Tong Zhang},
  title = {Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting},
  booktitle = {ACL},
  url = {https://aclanthology.org/2022.acl-long.323/},
  year = 2022
}

@inproceedings{AgaZha22-colt-ts,
  author = {Alekh Agarwal and Tong Zhang},
  title = {Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling},
  booktitle = {COLT},
  url = {https://arxiv.org/abs/2203.08248},
  year = 2022
}

@inproceedings{AgaZha22-colt-mro,
  author = {Alekh Agarwal and Tong Zhang},
  title = {Minimax Regret Optimization for Robust Machine Learning under Distribution Shift},
  booktitle = {COLT},
  url = {https://arxiv.org/abs/2202.05436},
  year = 2022
}

@inproceedings{GWZ22-icml-active,
  author = {Claudio Gentile and Zhilei Wang and Tong Zhang},
  title = {Achieving Minimax Rates in Pool-Based Batch Active Learning},
  booktitle = {ICML},
  url = {https://arxiv.org/abs/2202.05448},
  year = 2022
}

@inproceedings{ZLPZXPZ-icml-maple,
  author = {Xiao Zhou and Yong Lin and Renjie Pi and Weizhong Zhang and Renzhe Xu and Cui Peng and Tong Zhang},
  title = {Model Agnostic Sample Reweighting for Out-of-Distribution Learning},
  booktitle = {ICML},
  url = {https://proceedings.mlr.press/v162/zhou22d.html},
  year = 2022
}

@inproceedings{ZPZLZ-icml-coreset,
  author = {Xiao Zhou and Renjie PI and Weizhong Zhang and Yong Lin and Tong Zhang},
  title = {Probabilistic Bilevel Coreset Selection},
  url = {https://proceedings.mlr.press/v162/zhou22h.html},
  booktitle = {ICML},
  year = 2022
}

@inproceedings{XZSSZ-icml-ts-game,
  author = {Wei Xiong and Han Zhong and Chengshuai Shi and Cong Shen and Tong Zhang},
  title = {A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games},
  booktitle = {ICML},
  url = {https://proceedings.mlr.press/v162/xiong22b.html},
  year = 2022
}

@inproceedings{ZXTWZWY-icml-offline-game,
  author = {Han Zhong and Wei Xiong and Jiyuan Tan and Liwei Wang and Tong Zhang and Zhaoran Wang and Zhuoran Yang},
  title = {Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets},
  url = {https://proceedings.mlr.press/v162/zhong22b.html},
  booktitle = {ICML},
  year = 2022
}

@inproceedings{ZLZZ-icml-sparse-irm,
  author = {Xiao Zhou and Yong Lin and Weizhong Zhang and Tong Zhang},
  title = {Sparse Invariant Risk Minimization},
  url = {https://proceedings.mlr.press/v162/zhou22e.html},
  booktitle = {ICML},
  year = 2022
}

@inproceedings{agarwal2022model,
  author = {Agarwal, Alekh and Zhang, Tong},
  title = {Model-based {RL} with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity},
  booktitle = {Neurips},
  url = {https://arxiv.org/abs/2206.07659},
  year = 2022
}

@inproceedings{he2022nearly,
  author = {He, Jiafan and Zhou, Dongruo and Zhang, Tong and Gu, Quanquan},
  title = {Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions},
  booktitle = {Neurips},
  url = {https://arxiv.org/abs/2205.06811},
  year = 2022
}

@inproceedings{dong2022particle,
  title = {Particle-based Variational Inference with Preconditioned Functional Gradient Flow},
  author = {Dong, Hanze and Wang, Xi and Lin, Yong and Zhang, Tong},
  booktitle = {ICLR},
  url = {https://arxiv.org/abs/2211.13954},
  year = {2023}
}

@inproceedings{xiong2022nearly,
  title = {Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game},
  author = {Xiong, Wei and Zhong, Han and Shi, Chengshuai and Shen, Cong and Wang, Liwei and Zhang, Tong},
  booktitle = {ICLR},
  url = {https://arxiv.org/abs/2205.15512},
  year = {2023}
}

@inproceedings{diao2023hashtag,
  author = {Shizhe Diao and Sedrick Scott Keh and Liangming Pan and Zhiliang Tian and Yan Song and Tong Zhang},
  title = {Hashtag-Guided Low-Resource Tweet Classification},
  booktitle = {The Web Conference},
  url = {https://dl.acm.org/doi/abs/10.1145/3543507.3583194},
  year = 2023
}

@inproceedings{ye2022corruption,
  title = {Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes},
  author = {Ye, Chenlu and Xiong, Wei and Gu, Quanquan and Zhang, Tong},
  booktitle = {ICML},
  url = {https://arxiv.org/abs/2212.05949},
  year = 2023
}

@inproceedings{lee2023learning,
  title = {Learning in POMDPs is Sample-Efficient with Hindsight Observability},
  author = {Lee, Jonathan N and Agarwal, Alekh and Dann, Christoph and Zhang, Tong},
  booktitle = {ICML},
  url = {https://arxiv.org/abs/2301.13857},
  year = 2023
}

@inproceedings{cho2023convergence,
  title = {On the Convergence of Federated Averaging with Cyclic Client Participation},
  author = {Cho, Yae Jee and Sharma, Pranay and Joshi, Gauri and Xu, Zheng and Kale, Satyen and Zhang, Tong},
  booktitle = {ICML},
  url = {https://arxiv.org/abs/2302.03109},
  year = {2023}
}

@inproceedings{das2022beyond,
  title = {Beyond uniform lipschitz condition in differentially private optimization},
  author = {Das, Rudrajit and Kale, Satyen and Xu, Zheng and Zhang, Tong and Sanghavi, Sujay},
  booktitle = {ICML},
  url = {https://arxiv.org/abs/2206.10713},
  year = {2023}
}

@inproceedings{wang2023generalized,
  title = {Generalized Polyak Step Size for First Order Optimization with Momentum},
  author = {Xiaoyu Wang and Mikael Johansson and Tong Zhang},
  booktitle = {ICML},
  year = 2023
}

@inproceedings{yang2023what,
  title = {What is Essential for Unseen Goal Generalization of Offline Goal-conditioned RL?},
  author = {Rui Yang and Yong Lin and Xiaoteng Ma and Hao Hu and Chongjie Zhang and Tong Zhang},
  booktitle = {ICML},
  year = {2023}
}

@inproceedings{diao2023mixture,
  title = {Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models' Memories},
  author = {Shizhe Diao and Tianyang Xu and Ruijia Xu and Jiawei Wang and Tong Zhang},
  booktitle = {ACL},
  year = {2023}
}

@inproceedings{agarwal2022vo,
  title = {VO$Q$L: Towards Optimal Regret in Model-free RL with Nonlinear Function Approximation},
  author = {Agarwal, Alekh and Jin, Yujia and Zhang, Tong},
  booktitle = {COLT},
  url = {https://arxiv.org/abs/2212.06069},
  year = {2023}
}

@inproceedings{zhao2023variance,
  title = {Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency},
  author = {Zhao, Heyang and He, Jiafan and Zhou, Dongruo and Zhang, Tong and Gu, Quanquan},
  booktitle = {COLT},
  url = {https://arxiv.org/abs/2302.10371},
  year = {2023}
}

@inproceedings{pmlr-v206-qian23a,
  title = {Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity},
  author = {Qian, Xun and Dong, Hanze and Zhang, Tong and Richtarik, Peter},
  booktitle = {Proceedings of The 26th International Conference on Artificial Intelligence and Statistics},
  year = {2023},
  publisher = {PMLR},
  url = {https://proceedings.mlr.press/v206/qian23a.html}
}

Tong Zhang

张潼

Publications