Tong Zhang
张潼
About Me
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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} }