Eric Xing

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Amr AhmedSenior Staff Research Scientist, Google AIPatvirtintas el. paštas google.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPatvirtintas el. paštas cs.berkeley.edu
Jun ZhuProfessor of Computer Science, Tsinghua UniversityPatvirtintas el. paštas mail.tsinghua.edu.cn
Garth Alan GibsonPresident & CEO, Vector Institute; Consulting Professor of Computer Science, Carnegie MellonPatvirtintas el. paštas vectorinstitute.ai
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligencePatvirtintas el. paštas cs.washington.edu
Mladen KolarUniversity of Southern CaliforniaPatvirtintas el. paštas usc.edu
Kumar Avinava DubeyGoogle ResearchPatvirtintas el. paštas google.com
Jacob EisensteinGoogle ResearchPatvirtintas el. paštas google.com
David BleiProfessor of Statistics and Computer Science, Columbia UniversityPatvirtintas el. paštas columbia.edu
Edoardo M AiroldiProfessor of Statistics & Data Science Temple University & PI, Harvard UniversityPatvirtintas el. paštas fas.harvard.edu
Li Fei-FeiProfessor of Computer Science, Stanford UniversityPatvirtintas el. paštas cs.stanford.edu
Andre MartinsCarnegie Mellon University and Instituto Superior TecnicoPatvirtintas el. paštas cs.cmu.edu
Gunhee KimProfessor, Seoul National UniversityPatvirtintas el. paštas snu.ac.kr
William W. CohenCMU and Google DeepMindPatvirtintas el. paštas google.com
Mario A. T. FigueiredoInstituto de Telecomunicações, Instituto Superior Técnico, Universidade de LisboaPatvirtintas el. paštas tecnico.ulisboa.pt
Pedro M. Q. AguiarInstitute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ LisboaPatvirtintas el. paštas isr.ist.utl.pt
Chong WangApplePatvirtintas el. paštas cs.princeton.edu
Sinead WilliamsonAssistant professor, University of Texas at AustinPatvirtintas el. paštas mccombs.utexas.edu
Brendan O'ConnorUniversity of Massachusetts AmherstPatvirtintas el. paštas cs.umass.edu
Steve HannekePurdue UniversityPatvirtintas el. paštas ttic.edu

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Eric Xing

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

Patvirtintas el. paštas cs.cmu.edu - Pagrindinis puslapis

Machine Learning ML Systems Statistics Network Analysis AI4Science


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	4066	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	2861	2019
Mixed membership stochastic blockmodels EM Airoldi, D Blei, S Fienberg, E Xing Advances in neural information processing systems 21, 2008	2698	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	2264*	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	2186	2023
Toward controlled generation of text Z Hu, Z Yang, X Liang, R Salakhutdinov, EP Xing International conference on machine learning, 1587-1596, 2017	1299*	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	1240	2010
Deep kernel learning AG Wilson, Z Hu, R Salakhutdinov, EP Xing Artificial intelligence and statistics, 370-378, 2016	1071	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	1044	2018
Feature selection for high-dimensional genomic microarray data EP Xing, MI Jordan, RM Karp Icml 1 (3), 601-608, 2001	980	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	972	2013
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	935	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	931	2019
Harnessing deep neural networks with logic rules Z Hu, X Ma, Z Liu, E Hovy, E Xing arXiv preprint arXiv:1603.06318, 2016	788	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	725	2018
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	697	2020
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	690	2015
Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping S Kim, EP Xing	672	2012
Online detection of unusual events in videos via dynamic sparse coding B Zhao, L Fei-Fei, EP Xing CVPR 2011, 3313-3320, 2011	662	2011
On the automatic generation of medical imaging reports B Jing, P Xie, E Xing arXiv preprint arXiv:1711.08195, 2017	651	2017

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