Tong Zhang
According to our database^{1},
Tong Zhang
authored at least 212 papers
between 1996 and 2020.
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Bibliography
2020
SIAM J. Optim., 2020
EndtoEnd Active Object Tracking and Its RealWorld Deployment via Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Optimization Methods and Software, 2020
Int. J. Comput. Vis., 2020
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization.
CoRR, 2020
CoRR, 2020
CoRR, 2020
MeanField Analysis of TwoLayer Neural Networks: NonAsymptotic Rates and Generalization Bounds.
CoRR, 2020
Stochastic Recursive Gradient Descent Ascent for Stochastic NonconvexStronglyConcave Minimax Problems.
CoRR, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
2019
LayerWise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models.
J. Mach. Learn. Res., 2019
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python.
J. Mach. Learn. Res., 2019
CoRR, 2019
CoRR, 2019
Over Parameterized Twolevel Neural Networks Can Learn Near Optimal Feature Representations.
CoRR, 2019
CoRR, 2019
CoRR, 2019
CoRR, 2019
Tencent MLImages: A LargeScale MultiLabel Image Database for Visual Representation Learning.
CoRR, 2019
Graphguided multitask sparse learning model: a method for identifying antigenic variants of influenza A(H3N2) virus.
Bioinform., 2019
Tencent MLImages: A LargeScale MultiLabel Image Database for Visual Representation Learning.
IEEE Access, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the Conference on Learning Theory, 2019
Sentiment Analysis Using Autoregressive Language Modeling and Broad Learning System.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
IEEE Trans. Inf. Theory, 2018
Trans. Assoc. Comput. Linguistics, 2018
Math. Program., 2018
CoRR, 2018
FiniteSample Analyses for Fully Decentralized MultiAgent Reinforcement Learning.
CoRR, 2018
Parametrized Deep QNetworks Learning: Reinforcement Learning with DiscreteContinuous Hybrid Action Space.
CoRR, 2018
CoRR, 2018
TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game.
CoRR, 2018
CoRR, 2018
Diffusion Approximations for Online Principal Component Estimation and Global Convergence.
CoRR, 2018
Finegrained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Realworld Dataset.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Stochastic PrimalDual Method for Empirical Risk Minimization with O(1) PerIteration Complexity.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
SPIDER: NearOptimal NonConvex Optimization via Stochastic PathIntegrated Differential Estimator.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Error Compensated Quantized SGD and its Applications to Largescale Distributed Optimization.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
An Algorithmic Framework of Variable Metric OverRelaxed Hybrid Proximal ExtraGradient Method.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the Computer Vision  ECCV 2018, 2018
Proceedings of the Computer Vision  ECCV 2018, 2018
Modeling Varying CameraIMU Time Offset in OptimizationBased VisualInertial Odometry.
Proceedings of the Computer Vision  ECCV 2018, 2018
Unsupervised ImagetoImage Translation with Stacked CycleConsistent Adversarial Networks.
Proceedings of the Computer Vision  ECCV 2018, 2018
Proceedings of the Computer Vision  ECCV 2018, 2018
Proceedings of the Computer Vision  ECCV 2018, 2018
Proceedings of the Computer Vision  ECCV 2018, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
CoRR, 2017
Improved Optimization of Finite Sums with Minibatch Stochastic Variance Reduced Proximal Iterations.
CoRR, 2017
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions.
CoRR, 2017
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization.
Math. Program., 2016
Convolutional Neural Networks for Text Categorization: Shallow Wordlevel vs. Deep Characterlevel.
CoRR, 2016
Supervised and SemiSupervised Text Categorization using OneHot LSTM for Region Embeddings.
CoRR, 2016
CoRR, 2016
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}norm Regularized MEstimation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Generalized Hierarchical Sparse Model for ArbitraryOrder Interactive Antigenic Sites Identification in Flu Virus Data.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Supervised and SemiSupervised Text Categorization using LSTM for Region Embeddings.
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
Texts in Computer Science, Springer, ISBN: 9781447167501, 2015
J. Mach. Learn. Res., 2015
CoRR, 2015
SemiSupervised Learning with MultiView Embedding: Theory and Application with Convolutional Neural Networks.
CoRR, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Semisupervised Convolutional Neural Networks for Text Categorization via Region Embedding.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015
2014
IEEE Trans. Inf. Theory, 2014
SIAM J. Optim., 2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
CoRR, 2014
CoRR, 2014
CoRR, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
CommunicationEfficient Distributed Optimization using an Approximate Newtontype Method.
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of The 27th Conference on Learning Theory, 2014
2013
SIAM J. Optim., 2013
J. Mach. Learn. Res., 2013
J. Mach. Learn. Res., 2013
CoRR, 2013
Proceedings of the TwentyNinth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
Stochastic Gradient Descent for Nonsmooth Optimization: Convergence Results and Optimal Averaging Schemes.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Proceedings of the COLT 2012, 2012
J. Comput. Syst. Sci., 2012
CoRR, 2012
CoRR, 2012
CoRR, 2012
CoRR, 2012
Bioinform., 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 36, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
IEEE Trans. Inf. Theory, 2011
IEEE Trans. Inf. Theory, 2011
IEEE Trans. Inf. Theory, 2011
Integrative Analysis of Many Weighted CoExpression Networks Using Tensor Computation.
PLoS Comput. Biol., 2011
J. Mach. Learn. Res., 2011
CoRR, 2011
CoRR, 2011
CoRR, 2011
Proceedings of the UAI 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 1214 December 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 1214 December 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 1214 December 2011, 2011
2010
Texts in Computer Science 41, Springer, ISBN: 9781849962261, 2010
SIAM J. Optim., 2010
PLoS Comput. Biol., 2010
J. Mach. Learn. Res., 2010
CoRR, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 69 December 2010, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 69 December 2010, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML10), 2010
Proceedings of the Computer Vision  ECCV 2010, 2010
2009
ACM Trans. Web, 2009
J. Mach. Learn. Res., 2009
J. Mach. Learn. Res., 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 710 December 2009, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 710 December 2009, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
IEEE Trans. Inf. Theory, 2008
IEEE Trans. Inf. Theory, 2008
IEEE Trans. Speech Audio Process., 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Adaptive ForwardBackward Greedy Algorithm for Sparse Learning with Linear Models.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
ACM Trans. Speech Lang. Process., 2007
On the Effectiveness of Laplacian Normalization for Graph Semisupervised Learning.
J. Mach. Learn. Res., 2007
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007
A General Boosting Method and its Application to Learning Ranking Functions for Web Search.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Machine Learning, 2007
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007
2006
IEEE Trans. Inf. Theory, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006
Effectiveness of Meeting Outcomes in Virtual vs. FacetoFace Teams: A Comparison Study in China.
Proceedings of the Connecting the Americas. 12th Americas Conference on Information Systems, 2006
Proceedings of the ACL 2006, 2006
2005
Neural Comput., 2005
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data.
J. Mach. Learn. Res., 2005
Proceedings of the Fourteenth Text REtrieval Conference, 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
Proceedings of the ACL 2005, 2005
Proceedings of the ACL 2005, 2005
2004
J. Mach. Learn. Res., 2004
Inf. Process. Manag., 2004
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004
Classsize Independent Generalization Analsysis of Some Discriminative MultiCategory Classification.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
Proceedings of the Natural Language Processing, 2004
Solving large scale linear prediction problems using stochastic gradient descent algorithms.
Proceedings of the Machine Learning, 2004
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004
2003
IEEE Trans. Inf. Theory, 2003
Neural Comput., 2003
J. Mach. Learn. Res., 2003
Greedy Algorithms for Classification  Consistency, Convergence Rates, and Adaptivity.
J. Mach. Learn. Res., 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Machine Learning, 2003
Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2003
Proceedings of the Seventh Conference on Natural Language Learning, 2003
Proceedings of the Seventh Conference on Natural Language Learning, 2003
Updating an NLP system to fit new domains: an empirical study on the sentence segmentation problem.
Proceedings of the Seventh Conference on Natural Language Learning, 2003
2002
SIAM J. Matrix Anal. Appl., 2002
Neural Comput., 2002
Mach. Learn., 2002
J. Mach. Learn. Res., 2002
J. Mach. Learn. Res., 2002
J. Mach. Learn. Res., 2002
Int. J. Comput. Vis., 2002
IBM Syst. J., 2002
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Statistical Behavior and Consistency of Support Vector Machines, Boosting, and Beyond.
Proceedings of the Machine Learning, 2002
Proceedings of the Computational Learning Theory, 2002
2001
SIAM J. Matrix Anal. Appl., 2001
Inf. Retr., 2001
An Introduction to Support Vector Machines and Other KernelBased Learning Methods.
AI Mag., 2001
Proceedings of the Knowledge Discovery and Data Mining, 2001
Some Sparse Approximation Bounds for Regression Problems.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
A LeaveOneout Cross Validation Bound for Kernel Methods with Applications in Learning.
Proceedings of the Computational Learning Theory, 2001
A Sequential Approximation Bound for Some SampleDependent Convex Optimization Problems with Applications in Learning.
Proceedings of the Computational Learning Theory, 2001
Proceedings of the Association for Computational Linguistic, 2001
2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000
1999
Some Theoretical Results Concerning the Convergence of Compositions of Regularized Linear Functions.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999
Proceedings of the Twelfth Annual Conference on Computational Learning Theory, 1999
1998
SIAM J. Sci. Comput., 1998
A Linear Algorithm for Optimal Context Clustering with Application to Bilevel Image Coding.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998
Proceedings of the Data Compression Conference, 1998
1996
Proceedings of the Computer Vision, 1996