Christopher Ré

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Ce ZhangTogether AIAdresse e-mail validée de together.xyz
Sen WuComputer Science, Stanford UniversityAdresse e-mail validée de cs.stanford.edu
Atri RudraKatherine Johnson Chair in AI, Professor, CSE, University at BuffaloAdresse e-mail validée de buffalo.edu
Feng NiuUniversity of Wisconsin-MadisonAdresse e-mail validée de cs.wisc.edu
Kunle OlukotunCadence Design Systems Professor of Computer Science, Stanford UniversityAdresse e-mail validée de stanford.edu
Benjamin RechtProfessor of EECS, University of California, BerkeleyAdresse e-mail validée de eecs.berkeley.edu
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of WisconsinAdresse e-mail validée de cs.wisc.edu
Michael CafarellaAssociate Professor of Computer Science, University of MichiganAdresse e-mail validée de umich.edu
Arun KumarUniversity of California, San DiegoAdresse e-mail validée de eng.ucsd.edu
Jaeho ShinEvidently, Inc.Adresse e-mail validée de cs.stanford.edu
Manas JoglekarOpenAIAdresse e-mail validée de openai.com
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of WisconsinAdresse e-mail validée de cs.wisc.edu
Victor BittorfFacebookAdresse e-mail validée de fb.com
Ioannis (Yannis) MitliagkasAssociate Professor at Mila, University of MontréalAdresse e-mail validée de iro.umontreal.ca
Magdalena BalazinskaUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Dolan AntenucciUniversity of MichiganAdresse e-mail validée de umich.edu
Joseph HellersteinJim Gray Professor of Computer Science, UC BerkeleyAdresse e-mail validée de berkeley.edu
Srikrishna SridharAppleAdresse e-mail validée de tetra.ai
Ji LiuMetaAdresse e-mail validée de meta.com
Xixuan (Aaron) Feng 冯熙铉Software Engineer and Researcher at Megagon Labs

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Christopher Ré

Computer Science, Stanford University

Adresse e-mail validée de cs.stanford.edu - Page d'accueil

machine learning machine learning systems data data management


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	2693*	2011
On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021	2679	2021
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	1270	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), 12474, 2016	940	2016
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, 81-105, 2017	834*	2017
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	801	2016
Flashattention: Fast and memory-efficient exact attention with io-awareness T Dao, D Fu, S Ermon, A Rudra, C Ré Advances in Neural Information Processing Systems 35, 16344-16359, 2022	690	2022
Probabilistic databases D Suciu, D Olteanu, C Ré, C Koch Springer Nature, 2022	641	2022
Hyperbolic graph convolutional neural networks I Chami, Z Ying, C Ré, J Leskovec Advances in neural information processing systems 32, 2019	611	2019
Holistic evaluation of language models P Liang, R Bommasani, T Lee, D Tsipras, D Soylu, M Yasunaga, Y Zhang, ... arXiv preprint arXiv:2211.09110, 2022	595	2022
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	530	2012
Holoclean: Holistic data repairs with probabilistic inference T Rekatsinas, X Chu, IF Ilyas, C Ré arXiv preprint arXiv:1702.00820, 2017	492	2017
Efficiently modeling long sequences with structured state spaces A Gu, K Goel, C Ré arXiv preprint arXiv:2111.00396, 2021	486	2021
Efficient top-k query evaluation on probabilistic data C Re, N Dalvi, D Suciu 2007 IEEE 23rd International Conference on Data Engineering, 886-895, 2006	482	2006
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	432	2014
Representation tradeoffs for hyperbolic embeddings F Sala, C De Sa, A Gu, C Ré International conference on machine learning, 4460-4469, 2018	413	2018
Parallel stochastic gradient algorithms for large-scale matrix completion B Recht, C Ré Mathematical Programming Computation 5 (2), 201-226, 2013	403	2013
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	387	2017
Worst-case optimal join algorithms HQ Ngo, E Porat, C Ré, A Rudra Journal of the ACM (JACM) 65 (3), 1-40, 2018	386	2018
Low-dimensional hyperbolic knowledge graph embeddings I Chami, A Wolf, DC Juan, F Sala, S Ravi, C Ré arXiv preprint arXiv:2005.00545, 2020	371	2020

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