Eric Xing

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Amr AhmedSenior Staff Research Scientist, Google AIVerified email at google.com
Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Garth Alan GibsonPresident & CEO, Vector Institute; Consulting Professor of Computer Science, Carnegie MellonVerified email at vectorinstitute.ai
Mladen KolarThe University of Chicago, Booth School of BusinessVerified email at chicagobooth.edu
Jacob EisensteinGoogle ResearchVerified email at google.com
Kumar Avinava DubeyGoogle ResearchVerified email at google.com
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityVerified email at fas.harvard.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityVerified email at cs.stanford.edu
Andre MartinsCarnegie Mellon University and Instituto Superior TecnicoVerified email at cs.cmu.edu
Gunhee KimAssociate Professor, Seoul National UniversityVerified email at snu.ac.kr
William W. CohenGoogle AIVerified email at google.com
Mario A. T. FigueiredoInstituto de Telecomunicações, Instituto Superior Técnico, Universidade de LisboaVerified email at tecnico.ulisboa.pt
Bin ZhaoMachine Learning Department, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Pedro M. Q. AguiarInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaVerified email at isr.ist.utl.pt
Chong WangAppleVerified email at cs.princeton.edu
Steve HannekePurdue UniversityVerified email at ttic.edu
Sinead WilliamsonAssistant professor, University of Texas at AustinVerified email at mccombs.utexas.edu

Eric Xing

President at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U

Verified email at cs.cmu.edu - Homepage

Machine Learning ML Systems Optimization Statistics Network Analysis


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Distance metric learning with application to clustering with side-information E Xing, M Jordan, SJ Russell, A Ng Advances in neural information processing systems 15, 2002	3936	2002
Mixed membership stochastic blockmodels EM Airoldi, D Blei, S Fienberg, E Xing Advances in neural information processing systems 21, 2008	2548	2008
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	2086	2019
Object bank: A high-level image representation for scene classification & semantic feature sparsification LJ Li, H Su, L Fei-Fei, E Xing Advances in neural information processing systems 23, 2010	1213	2010
Toward controlled generation of text Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing International conference on machine learning, 1587-1596, 2017	1176*	2017
Feature selection for high-dimensional genomic microarray data EP Xing, MI Jordan, RM Karp Icml 1 (3), 601-608, 2001	955	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	893	2010
More effective distributed ml via a stale synchronous parallel parameter server Q Ho, J Cipar, H Cui, S Lee, JK Kim, PB Gibbons, GA Gibson, G Ganger, ... Advances in neural information processing systems 26, 2013	878	2013
Deep kernel learning AG Wilson, Z Hu, R Salakhutdinov, EP Xing Artificial intelligence and statistics, 370-378, 2016	871	2016
Harnessing deep neural networks with logic rules Z Hu, X Ma, Z Liu, E Hovy, E Xing arXiv preprint arXiv:1603.06318, 2016	714	2016
Dags with no tears: Continuous optimization for structure learning X Zheng, B Aragam, PK Ravikumar, EP Xing Advances in neural information processing systems 31, 2018	655	2018
Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping S Kim, EP Xing	651	2012
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, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015	625	2015
Online detection of unusual events in videos via dynamic sparse coding B Zhao, L Fei-Fei, EP Xing CVPR 2011, 3313-3320, 2011	613	2011
Neural architecture search with bayesian optimisation and optimal transport K Kandasamy, W Neiswanger, J Schneider, B Poczos, EP Xing Advances in neural information processing systems 31, 2018	611	2018
Discrete temporal models of social networks S Hanneke, W Fu, EP Xing	571	2010
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	551	2008
MedLDA: maximum margin supervised topic models for regression and classification J Zhu, A Ahmed, EP Xing Proceedings of the 26th annual international conference on machine learning …, 2009	544	2009
Learning robust global representations by penalizing local predictive power H Wang, S Ge, Z Lipton, EP Xing Advances in Neural Information Processing Systems 32, 2019	490	2019
Self-challenging improves cross-domain generalization Z Huang, H Wang, EP Xing, D Huang Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	478	2020

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