Eric Xing

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

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Eric Xing

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

Zweryfikowany adres z cs.cmu.edu - Strona główna

Machine Learning ML Systems Optimization Statistics Network Analysis


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	3913	2002
Mixed membership stochastic blockmodels EM Airoldi, D Blei, S Fienberg, E Xing Advances in neural information processing systems 21, 2008	2518	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	1956	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	1207	2010
Toward controlled generation of text Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing International conference on machine learning, 1587-1596, 2017	1153*	2017
Feature selection for high-dimensional genomic microarray data EP Xing, MI Jordan, RM Karp Icml 1 (3), 601-608, 2001	947	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	883	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	870	2013
Deep kernel learning AG Wilson, Z Hu, R Salakhutdinov, EP Xing Artificial intelligence and statistics, 370-378, 2016	835	2016
Harnessing deep neural networks with logic rules Z Hu, X Ma, Z Liu, E Hovy, E Xing arXiv preprint arXiv:1603.06318, 2016	701	2016
Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping S Kim, EP Xing	647	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	620	2015
Online detection of unusual events in videos via dynamic sparse coding B Zhao, L Fei-Fei, EP Xing CVPR 2011, 3313-3320, 2011	605	2011
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	589	2018
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	589	2018
Discrete temporal models of social networks S Hanneke, W Fu, EP Xing	553	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	548	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	543	2009
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	434	2020
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	431	2019

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