Xinhua Zhang

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Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaAdresse e-mail validée de cs.ualberta.ca
Yaoliang YuUniversity of WaterlooAdresse e-mail validée de uwaterloo.ca
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityAdresse e-mail validée de stat.purdue.edu
Ankan SahaSenior Staff Applied Researcher, LinkedinAdresse e-mail validée de linkedin.com
Martha WhiteUniversity of AlbertaAdresse e-mail validée de ualberta.ca
Hao ChengMicrosoft ResearchAdresse e-mail validée de microsoft.com
arthur grettonGatsby Computational Neuroscience Unit, UCLAdresse e-mail validée de gatsby.ucl.ac.uk
Alex SmolaAmazon Web ServicesAdresse e-mail validée de smola.org
Le SongGeorgia Institute of TechnologyAdresse e-mail validée de cc.gatech.edu
Zhan Shiuniversity of illinois at chicagoAdresse e-mail validée de uic.edu
Mohammad Ali BashiriUniversity of Illinois at ChicagoAdresse e-mail validée de uic.edu
Wee Sun LeeProfessor, Department of Computer Science, National University of SingaporeAdresse e-mail validée de comp.nus.edu.sg
Shin MatsushimaThe University of TokyoAdresse e-mail validée de ds.itc.u-tokyo.ac.jp
Hyokun YunMachine Learning Scientist at AmazonAdresse e-mail validée de amazon.com
Özlem AslanResearch Scientist at DeepMindAdresse e-mail validée de google.com
Brian D ZiebartAssociate Professor of Computer Science, University of Illinois at ChicagoAdresse e-mail validée de uic.edu
Rizal FathonyCarnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Hongwei JinUniversity of Illinois at ChicagoAdresse e-mail validée de uic.edu
Vignesh GanapathiramanUniversity of Illinois at ChicagoAdresse e-mail validée de uic.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedAdresse e-mail validée de tuebingen.mpg.de

Xinhua Zhang

University of Illinois at Chicago

Adresse e-mail validée de uic.edu - Page d'accueil

Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Convex multi-view subspace learning M White, Y Yu, X Zhang, D Schuurmans Advances in Neural Information Processing Systems, 1673-1681, 2012	151	2012
Accelerated training for matrix-norm regularization: A boosting approach X Zhang, Y Yu, D Schuurmans Advances in Neural Information Processing Systems, 2906-2914, 2012	111	2012
Hyperparameter learning for graph based semi-supervised learning algorithms X Zhang, WS Lee Advances in neural information processing systems, 1585-1592, 2006	67	2006
Support Vector Machines X Zhang Encyclopedia of Machine Learning, 941-946, 2011	66*	2011
Tailoring density estimation via reproducing kernel moment matching L Song, X Zhang, A Smola, A Gretton, B Schölkopf Proceedings of the 25th international conference on Machine learning, 992-999, 2008	63	2008
Bayesian online learning for multi-label and multi-variate performance measures X Zhang, T Graepel, R Herbrich Proceedings of the Thirteenth International Conference on Artificial …, 2010	48	2010
Kernel measures of independence for non-iid data X Zhang, L Song, A Gretton, A Smola Advances in neural information processing systems 21, 1937-1944, 2008	40	2008
Generalized conditional gradient for sparse estimation Y Yu, X Zhang, D Schuurmans Journal of Machine Learning Research 18 (144), 1-46, 2017	39	2017
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. X Zhang, Y Yu, M White, R Huang, D Schuurmans AAAI, 2011	39	2011
Consistent image analogies using semi-supervised learning L Cheng, SVN Vishwanathan, X Zhang 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	36	2008
Convex deep learning via normalized kernels Ö Aslan, X Zhang, D Schuurmans Advances in Neural Information Processing Systems, 3275-3283, 2014	34	2014
Conditional random fields for multi-agent reinforcement learning X Zhang, D Aberdeen, SVN Vishwanathan Proceedings of the 24th international conference on Machine learning, 1143-1150, 2007	27	2007
Smoothing multivariate performance measures X Zhang, A Saha, SVN Vishwanathan Journal of Machine Learning Research 13 (Dec), 3623-3680, 2012	26	2012
New approximation algorithms for minimum enclosing convex shapes A Saha, SVN Vishwanathan, X Zhang Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011	26	2011
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search MA Bashiri, X Zhang Advances in Neural Information Processing Systems, 2687-2697, 2017	25	2017
Convex two-layer modeling Ö Aslan, H Cheng, X Zhang, D Schuurmans Advances in Neural Information Processing Systems 26, 2985-2993, 2013	25	2013
New approximation algorithms for minimum enclosing convex shapes A Saha, SVN Vishwanathan, X Zhang Proceedings of the twenty-second annual ACM-SIAM symposium on Discrete …, 2011	23	2011
Scalable and Sound Low-Rank Tensor Learning H Cheng, Y Yu, X Zhang, E Xing, D Schuurmans Proceedings of the 19th International Conference on Artificial Intelligence …, 2016	20	2016
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction Z Shi, X Zhang, Y Yu Advances in Neural Information Processing Systems, 6033-6043, 2017	18	2017
Polar operators for structured sparse estimation X Zhang, YL Yu, D Schuurmans Advances in Neural Information Processing Systems, 82-90, 2013	17	2013

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