Eric Xing

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Amr AhmedSenior Staff Research Scientist, Google AIZweryfikowany adres z google.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyZweryfikowany adres z cs.berkeley.edu
Jun ZhuProfessor of Computer Science, Tsinghua UniversityZweryfikowany adres z mail.tsinghua.edu.cn
Garth Alan GibsonPresident & CEO, Vector Institute; Consulting Professor of Computer Science, Carnegie MellonZweryfikowany adres z vectorinstitute.ai
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceZweryfikowany adres z cs.washington.edu
Mladen KolarUniversity of Southern CaliforniaZweryfikowany adres z usc.edu
Kumar Avinava DubeyGoogle ResearchZweryfikowany adres z google.com
Jacob EisensteinGoogle 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 KimProfessor, Seoul National UniversityZweryfikowany adres z snu.ac.kr
William W. CohenCMU and Google DeepMindZweryfikowany adres z google.com
Mario A. T. FigueiredoInstituto de Telecomunicações, Instituto Superior Técnico, Universidade de LisboaZweryfikowany adres z tecnico.ulisboa.pt
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
Sinead WilliamsonAssistant professor, University of Texas at AustinZweryfikowany adres z mccombs.utexas.edu
Brendan O'ConnorUniversity of Massachusetts AmherstZweryfikowany adres z cs.umass.edu
Steve HannekePurdue UniversityZweryfikowany adres z ttic.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 Statistics Network Analysis AI4Science


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	4041	2002
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	2681	2019
Mixed membership stochastic blockmodels EM Airoldi, D Blei, S Fienberg, E Xing Advances in neural information processing systems 21, 2008	2664	2008
Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality, March 2023 WL Chiang, Z Li, Z Lin, Y Sheng, Z Wu, H Zhang, L Zheng, S Zhuang, ... URL https://lmsys. org/blog/2023-03-30-vicuna 3 (5), 2023	1805*	2023
Judging llm-as-a-judge with mt-bench and chatbot arena L Zheng, WL Chiang, Y Sheng, S Zhuang, Z Wu, Y Zhuang, Z Lin, Z Li, ... Advances in Neural Information Processing Systems 36, 46595-46623, 2023	1541	2023
Toward controlled generation of text Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing International conference on machine learning, 1587-1596, 2017	1285*	2017
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	1234	2010
Deep kernel learning AG Wilson, Z Hu, R Salakhutdinov, EP Xing Artificial intelligence and statistics, 370-378, 2016	1016	2016
Feature selection for high-dimensional genomic microarray data EP Xing, MI Jordan, RM Karp Icml 1 (3), 601-608, 2001	975	2001
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	954	2013
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	952	2018
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	928	2010
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	833	2019
Harnessing deep neural networks with logic rules Z Hu, X Ma, Z Liu, E Hovy, E Xing arXiv preprint arXiv:1603.06318, 2016	774	2016
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	703	2018
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	683	2015
Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping S Kim, EP Xing	668	2012
Online detection of unusual events in videos via dynamic sparse coding B Zhao, L Fei-Fei, EP Xing CVPR 2011, 3313-3320, 2011	655	2011
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	650	2020
Discrete temporal models of social networks S Hanneke, W Fu, EP Xing	622	2010

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