Eric Xing

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Coauteurs

Amr AhmedSenior Staff Research Scientist, Google AIAdresse e-mail validée de google.com
Garth Alan GibsonPresident & CEO, Vector Institute; Consulting Professor of Computer Science, Carnegie MellonAdresse e-mail validée de vectorinstitute.ai
Jun ZhuProfessor of Computer Science, Tsinghua UniversityAdresse e-mail validée de mail.tsinghua.edu.cn
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceAdresse e-mail validée de cs.washington.edu
Mladen KolarThe University of Chicago, Booth School of BusinessAdresse e-mail validée de chicagobooth.edu
Jacob EisensteinGoogle ResearchAdresse e-mail validée de google.com
David BleiProfessor of Statistics and Computer Science, Columbia UniversityAdresse e-mail validée de columbia.edu
Avinava DubeyCarnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityAdresse e-mail validée de fas.harvard.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Andre MartinsCarnegie Mellon University and Instituto Superior TecnicoAdresse e-mail validée de cs.cmu.edu
Gunhee KimAssociate Professor, Seoul National UniversityAdresse e-mail validée de snu.ac.kr
William W. CohenGoogle AIAdresse e-mail validée de google.com
Mario A. T. FigueiredoInstituto de Telecomunicações; Instituto Superior Técnico, Universidade de Lisboa, PortugalAdresse e-mail validée de ist.utl.pt
Christos FaloutsosCMUAdresse e-mail validée de cs.cmu.edu
Pedro M. Q. AguiarInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaAdresse e-mail validée de isr.ist.utl.pt
Chong WangHead of AML Research at ByteDanceAdresse e-mail validée de cs.princeton.edu
Bin ZhaoMachine Learning Department, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Steve HannekeToyota Technological Institute at ChicagoAdresse e-mail validée de ttic.edu

Eric Xing

Professor of Machine Learning, Language Technology, Computer Science, Cargenie Mellon University

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

Machine Learning Optimization Statistics Social network Information Retrieval


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Distance metric learning with application to clustering with side-information EP Xing, AY Ng, MI Jordan, S Russell NIPS 15 (505–512), 12, 2002	3450	2002
Mixed membership stochastic blockmodels EM Airoldi, DM Blei, SE Fienberg, EP Xing Journal of machine learning research, 2008	2069	2008
Object bank: A high-level image representation for scene classification & semantic feature sparsification LJ Li, H Su, FF Li, E P Xing Carnegie Mellon University, 2010	1115	2010
Feature selection for high-dimensional genomic microarray data EP Xing, MI Jordan, RM Karp Icml 1, 601-608, 2001	850	2001
A latent variable model for geographic lexical variation J Eisenstein, B O’Connor, NA Smith, E Xing Proceedings of the 2010 conference on empirical methods in natural language …, 2010	793	2010
Toward controlled generation of text Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing International Conference on Machine Learning, 1587-1596, 2017	648*	2017
More effective distributed ml via a stale synchronous parallel parameter server Q Ho, J Cipar, H Cui, JK Kim, S Lee, PB Gibbons, GA Gibson, GR Ganger, ... Advances in neural information processing systems 2013, 1223, 2013	562	2013
MedLDA: maximum margin supervised topic models J Zhu, A Ahmed, EP Xing the Journal of machine Learning research 13 (1), 2237-2278, 2012	484	2012
Joint latent topic models for text and citations RM Nallapati, A Ahmed, EP Xing, WW Cohen Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	478	2008
Tree-guided group lasso for multi-task regression with structured sparsity S Kim, EP Xing ICML, 2010	464	2010
Petuum: A new platform for distributed machine learning on big data EP Xing, Q Ho, W Dai, JK Kim, J Wei, S Lee, X Zheng, P Xie, A Kumar, ... IEEE Transactions on Big Data 1 (2), 49-67, 2015	459	2015
Learning a predictable and generative vector representation for objects R Girdhar, DF Fouhey, M Rodriguez, A Gupta European Conference on Computer Vision, 484-499, 2016	448	2016
Theoretically principled trade-off between robustness and accuracy H Zhang, Y Yu, J Jiao, E Xing, L El Ghaoui, M Jordan International Conference on Machine Learning, 7472-7482, 2019	437	2019
Discrete temporal models of social networks S Hanneke, W Fu, EP Xing Electronic journal of statistics 4, 585-605, 2010	419	2010
Online detection of unusual events in videos via dynamic sparse coding B Zhao, L Fei-Fei, EP Xing CVPR 2011, 3313-3320, 2011	418	2011
Harnessing deep neural networks with logic rules Z Hu, X Ma, Z Liu, E Hovy, E Xing arXiv preprint arXiv:1603.06318, 2016	385	2016
Deep kernel learning AG Wilson, Z Hu, R Salakhutdinov, EP Xing Artificial intelligence and statistics, 370-378, 2016	359	2016
Rolx: structural role extraction & mining in large graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	357	2012
Distributed cosegmentation via submodular optimization on anisotropic diffusion G Kim, EP Xing, L Fei-Fei, T Kanade 2011 international conference on computer vision, 169-176, 2011	328	2011
Graph-structured multi-task regression and an efficient optimization method for general fused lasso X Chen, S Kim, Q Lin, JG Carbonell, EP Xing arXiv preprint arXiv:1005.3579, 2010	319*	2010

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