Christopher Ré

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Medförfattare

Ce ZhangETH ZurichVerifierad e-postadress på inf.ethz.ch
Feng NiuUniversity of Wisconsin-MadisonVerifierad e-postadress på cs.wisc.edu
Sen WuComputer Science, Stanford UniversityVerifierad e-postadress på cs.stanford.edu
Kunle OlukotunCadence Design Systems Professor of Computer Science, Stanford UniversityVerifierad e-postadress på stanford.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinVerifierad e-postadress på cs.wisc.edu
Michael CafarellaAssociate Professor of Computer Science, University of MichiganVerifierad e-postadress på umich.edu
Atri RudraProfessor, CSE, University at BuffaloVerifierad e-postadress på buffalo.edu
Benjamin RechtAssociate Professor of EECS, University of California, BerkeleyVerifierad e-postadress på eecs.berkeley.edu
Arun KumarUniversity of California, San DiegoVerifierad e-postadress på eng.ucsd.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinVerifierad e-postadress på cs.wisc.edu
Jaeho ShinApple Inc.Verifierad e-postadress på cs.stanford.edu
Manas JoglekarPhD, Stanford UniversityVerifierad e-postadress på stanford.edu
Victor BittorfFacebookVerifierad e-postadress på fb.com
Magdalena BalazinskaUniversity of WashingtonVerifierad e-postadress på cs.washington.edu
Ioannis (Yannis) MitliagkasAssistant Professor at Mila, University of MontréalVerifierad e-postadress på iro.umontreal.ca
Xixuan (Aaron) Feng 冯熙铉Software Engineer and Researcher in Recruit Institute of TechnologyVerifierad e-postadress på recruit.ai
Dolan AntenucciUniversity of MichiganVerifierad e-postadress på umich.edu
Joseph HellersteinJim Gray Professor of Computer Science, UC BerkeleyVerifierad e-postadress på berkeley.edu
Ji LiuUniversity of RochesterVerifierad e-postadress på cs.rochester.edu
Srikrishna SridharApple

Christopher Ré

Computer Science, Stanford University

Verifierad e-postadress på cs.stanford.edu - Startsida

machine learning machine learning systems data data management


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Hogwild: A lock-free approach to parallelizing stochastic gradient descent F Niu, B Recht, C Ré, S Wright Advances in Neural Information Processing Systems, 693-701, 2011	1970	2011
Incremental knowledge base construction using DeepDive C De Sa, A Ratner, C Ré, J Shin, F Wang, S Wu, C Zhang The VLDB Journal 26 (1), 81-105, 2017	566*	2017
Probabilistic databases D Suciu, D Olteanu, C Ré, C Koch Synthesis lectures on data management 3 (2), 1-180, 2011	499	2011
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features KH Yu, C Zhang, GJ Berry, RB Altman, C Ré, DL Rubin, M Snyder Nature communications 7 (1), 1-10, 2016	448	2016
Efficient top-k query evaluation on probabilistic data C Re, N Dalvi, D Suciu 2007 IEEE 23rd International Conference on Data Engineering, 886-895, 2007	444	2007
Why'nearshore'means that distance matters E Carmel, P Abbott Communications of the ACM 50 (10), 40-46, 2007	424*	2007
The MADlib analytics library or MAD skills, the SQL J Hellerstein, C Ré, F Schoppmann, DZ Wang, E Fratkin, A Gorajek, ... arXiv preprint arXiv:1208.4165, 2012	381	2012
Snorkel: Rapid training data creation with weak supervision A Ratner, SH Bach, H Ehrenberg, J Fries, S Wu, C Ré Proceedings of the VLDB Endowment. International Conference on Very Large …, 2017	378*	2017
An asynchronous parallel stochastic coordinate descent algorithm J Liu, S Wright, C Ré, V Bittorf, S Sridhar International Conference on Machine Learning, 469-477, 2014	343	2014
Parallel stochastic gradient algorithms for large-scale matrix completion B Recht, C Ré Mathematical Programming Computation 5 (2), 201-226, 2013	327	2013
Data programming: Creating large training sets, quickly AJ Ratner, CM De Sa, S Wu, D Selsam, C Ré Advances in neural information processing systems 29, 3567-3575, 2016	325	2016
Tuffy: Scaling up statistical inference in markov logic networks using an rdbms F Niu, C Ré, AH Doan, J Shavlik arXiv preprint arXiv:1104.3216, 2011	308	2011
Event queries on correlated probabilistic streams C Ré, J Letchner, M Balazinksa, D Suciu Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008	256	2008
MYSTIQ: a system for finding more answers by using probabilities J Boulos, N Dalvi, B Mandhani, S Mathur, C Re, D Suciu Proceedings of the 2005 ACM SIGMOD international conference on Management of …, 2005	242	2005
Probabilistic databases: diamonds in the dirt N Dalvi, C Ré, D Suciu Communications of the ACM 52 (7), 86-94, 2009	234	2009
Factoring nonnegative matrices with linear programs B Recht, C Re, J Tropp, V Bittorf Advances in neural information processing systems 25, 1214-1222, 2012	229	2012
Automatic optimization for MapReduce programs E Jahani, MJ Cafarella, C Ré Proceedings of the VLDB Endowment 4 (6), 385-396, 2011	209	2011
Worst-case optimal join algorithms HQ Ngo, E Porat, C Ré, A Rudra Journal of the ACM (JACM) 65 (3), 1-40, 2018	196	2018
Holoclean: Holistic data repairs with probabilistic inference T Rekatsinas, X Chu, IF Ilyas, C Ré arXiv preprint arXiv:1702.00820, 2017	189	2017
Towards a unified architecture for in-RDBMS analytics X Feng, A Kumar, B Recht, C Ré Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012	181	2012

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