Xinhua Zhang

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Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaDirección de correo verificada de cs.ualberta.ca
Yaoliang YuUniversity of WaterlooDirección de correo verificada de uwaterloo.ca
S V N VishwanathanAssociate Professor of Statistics and Computer Science, Purdue UniversityDirección de correo verificada de stat.purdue.edu
Ankan SahaSenior Staff Applied Researcher, LinkedinDirección de correo verificada de linkedin.com
Martha WhiteUniversity of AlbertaDirección de correo verificada de ualberta.ca
Hao ChengMicrosoft ResearchDirección de correo verificada de microsoft.com
arthur grettonGatsby Computational Neuroscience Unit, UCLDirección de correo verificada de gatsby.ucl.ac.uk
Alex SmolaAmazon Web ServicesDirección de correo verificada de smola.org
Le SongGeorgia Institute of TechnologyDirección de correo verificada de cc.gatech.edu
Wee Sun LeeProfessor, Department of Computer Science, National University of SingaporeDirección de correo verificada de comp.nus.edu.sg
Mohammad Ali BashiriUniversity of Illinois at ChicagoDirección de correo verificada de uic.edu
Shin MatsushimaThe University of TokyoDirección de correo verificada de ds.itc.u-tokyo.ac.jp
Hyokun YunMachine Learning Scientist at AmazonDirección de correo verificada de amazon.com
Özlem AslanResearch Scientist at DeepMindDirección de correo verificada de google.com
Brian D ZiebartAssociate Professor of Computer Science, University of Illinois at ChicagoDirección de correo verificada de uic.edu
Rizal FathonyCarnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Vignesh GanapathiramanUniversity of Illinois at ChicagoDirección de correo verificada de uic.edu
Zhan Shiuniversity of illinois at chicagoDirección de correo verificada de uic.edu
Yingyi MaUniversity of Illinois at ChicagoDirección de correo verificada de uic.edu
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedDirección de correo verificada de tuebingen.mpg.de

Xinhua Zhang

University of Illinois at Chicago

Dirección de correo verificada de uic.edu - Página principal

Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Convex multi-view subspace learning M White, Y Yu, X Zhang, D Schuurmans Advances in Neural Information Processing Systems, 1673-1681, 2012	142	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	108	2012
Hyperparameter learning for graph based semi-supervised learning algorithms X Zhang, WS Lee Advances in neural information processing systems, 1585-1592, 2006	63	2006
Support Vector Machines X Zhang Encyclopedia of Machine Learning, 941-946, 2011	60*	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	56	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	46	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	42	2008
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. X Zhang, Y Yu, M White, R Huang, D Schuurmans AAAI, 2011	38	2011
Generalized conditional gradient for sparse estimation Y Yu, X Zhang, D Schuurmans Journal of Machine Learning Research 18 (144), 1-46, 2017	35	2017
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	35	2008
Convex deep learning via normalized kernels Ö Aslan, X Zhang, D Schuurmans Advances in Neural Information Processing Systems, 3275-3283, 2014	33	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	28	2007
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
Convex two-layer modeling Ö Aslan, H Cheng, X Zhang, D Schuurmans Advances in Neural Information Processing Systems 26, 2985-2993, 2013	24	2013
Smoothing multivariate performance measures X Zhang, A Saha, SVN Vishwanathan Journal of Machine Learning Research 13 (Dec), 3623-3680, 2012	24	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	23	2011
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search MA Bashiri, X Zhang Advances in Neural Information Processing Systems, 2687-2697, 2017	21	2017
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
Polar operators for structured sparse estimation X Zhang, YL Yu, D Schuurmans Advances in Neural Information Processing Systems, 82-90, 2013	16	2013
A very gentle note on the construction of dirichlet process X Zhang The Australian National University, Canberra, 2008	16	2008

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