Christopher Ré

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Ce ZhangETH ZurichE-mail confirmado em inf.ethz.ch
Sen WuComputer Science, Stanford UniversityE-mail confirmado em cs.stanford.edu
Feng NiuUniversity of Wisconsin-MadisonE-mail confirmado em cs.wisc.edu
Kunle OlukotunCadence Design Systems Professor of Computer Science, Stanford UniversityE-mail confirmado em stanford.edu
Atri RudraProfessor, CSE, University at BuffaloE-mail confirmado em buffalo.edu
Benjamin RechtAssociate Professor of EECS, University of California, BerkeleyE-mail confirmado em eecs.berkeley.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinE-mail confirmado em cs.wisc.edu
Michael CafarellaAssociate Professor of Computer Science, University of MichiganE-mail confirmado em umich.edu
Arun KumarUniversity of California, San DiegoE-mail confirmado em eng.ucsd.edu
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinE-mail confirmado em cs.wisc.edu
Jaeho ShinEvidently, Inc.E-mail confirmado em cs.stanford.edu
Manas JoglekarPhD, Stanford UniversityE-mail confirmado em stanford.edu
Victor BittorfFacebookE-mail confirmado em fb.com
Ioannis (Yannis) MitliagkasAssistant Professor at Mila, University of MontréalE-mail confirmado em iro.umontreal.ca
Magdalena BalazinskaUniversity of WashingtonE-mail confirmado em cs.washington.edu
Dolan AntenucciUniversity of MichiganE-mail confirmado em umich.edu
Joseph HellersteinJim Gray Professor of Computer Science, UC BerkeleyE-mail confirmado em berkeley.edu
Ji LiuUniversity of RochesterE-mail confirmado em cs.rochester.edu
Srikrishna SridharApple
Xixuan (Aaron) Feng 冯熙铉Software Engineer and Researcher at Megagon Labs

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Christopher Ré

Computer Science, Stanford University

E-mail confirmado em cs.stanford.edu - Página inicial

machine learning machine learning systems data data management


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	2322*	2011
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	757	2017
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	714*	2017
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	674	2016
Probabilistic databases D Suciu, D Olteanu, C Ré, C Koch Synthesis lectures on data management 3 (2), 1-180, 2011	557	2011
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, 2016	504	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	467	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	449	2012
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	377	2014
Parallel stochastic gradient algorithms for large-scale matrix completion B Recht, C Ré Mathematical Programming Computation 5 (2), 201-226, 2013	357	2013
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	344	2011
Holoclean: Holistic data repairs with probabilistic inference T Rekatsinas, X Chu, IF Ilyas, C Ré arXiv preprint arXiv:1702.00820, 2017	312	2017
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	264	2008
Hyperbolic graph convolutional neural networks I Chami, Z Ying, C Ré, J Leskovec Advances in neural information processing systems 32, 2019	261	2019
Dawnbench: An end-to-end deep learning benchmark and competition C Coleman, D Narayanan, D Kang, T Zhao, J Zhang, L Nardi, P Bailis, ... Training 100 (101), 102, 2017	260	2017
Worst-case optimal join algorithms HQ Ngo, E Porat, C Ré, A Rudra Journal of the ACM (JACM) 65 (3), 1-40, 2018	258	2018
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	257	2005
Learning to compose domain-specific transformations for data augmentation AJ Ratner, H Ehrenberg, Z Hussain, J Dunnmon, C Ré Advances in neural information processing systems 30, 2017	256	2017
Factoring nonnegative matrices with linear programs B Recht, C Re, J Tropp, V Bittorf Advances in neural information processing systems 25, 2012	252	2012
Probabilistic databases: diamonds in the dirt N Dalvi, C Ré, D Suciu Communications of the ACM 52 (7), 86-94, 2009	247	2009

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