Christopher Ré 个人学术档案

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	总计	2019 年至今
引用	37489	28032
h 指数	95	80
i10 指数	268	233

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Ce ZhangTogether AI在 together.xyz 的电子邮件经过验证
Atri RudraKatherine Johnson Chair in AI, Professor, CSE, University at Buffalo在 buffalo.edu 的电子邮件经过验证
Sen WuComputer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
Feng NiuUniversity of Wisconsin-Madison在 cs.wisc.edu 的电子邮件经过验证
Kunle OlukotunCadence Design Systems Professor of Computer Science, Stanford University在 stanford.edu 的电子邮件经过验证
Benjamin RechtProfessor of EECS, University of California, Berkeley在 eecs.berkeley.edu 的电子邮件经过验证
Michael CafarellaAssociate Professor of Computer Science, University of Michigan在 umich.edu 的电子邮件经过验证
Jude ShavlikProfessor of Computer Science and of Biostatistics & Medical Informatics, University of Wisconsin在 cs.wisc.edu 的电子邮件经过验证
Arun KumarUniversity of California, San Diego在 eng.ucsd.edu 的电子邮件经过验证
Stephen WrightDepartment of Computer Sciences and Wisconsin Institute for Discovery, University of Wisconsin在 cs.wisc.edu 的电子邮件经过验证
Jaeho ShinEvidently, Inc.在 cs.stanford.edu 的电子邮件经过验证
Manas JoglekarOpenAI在 openai.com 的电子邮件经过验证
Victor BittorfFacebook在 fb.com 的电子邮件经过验证
Ioannis (Yannis) MitliagkasAssociate Professor at Mila, University of Montréal在 iro.umontreal.ca 的电子邮件经过验证
Magdalena BalazinskaUniversity of Washington在 cs.washington.edu 的电子邮件经过验证
Dolan AntenucciUniversity of Michigan在 umich.edu 的电子邮件经过验证
Joseph HellersteinJim Gray Professor of Computer Science, UC Berkeley在 berkeley.edu 的电子邮件经过验证
Srikrishna SridharApple在 tetra.ai 的电子邮件经过验证
Ji LiuMeta在 meta.com 的电子邮件经过验证
Xixuan (Aaron) Feng 冯熙铉Software Engineer and Researcher at Megagon Labs

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Christopher Ré

Computer Science, Stanford University

在 cs.stanford.edu 的电子邮件经过验证 - 首页

machine learning machine learning systems data data management


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	3123	2021
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	2730*	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	1297	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	966	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	905	2022
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	842*	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	823	2016
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	717	2022
Efficiently modeling long sequences with structured state spaces A Gu, K Goel, C Ré arXiv preprint arXiv:2111.00396, 2021	700	2021
Probabilistic databases D Suciu, D Olteanu, C Ré, C Koch Springer Nature, 2022	652	2022
Hyperbolic graph convolutional neural networks I Chami, Z Ying, C Ré, J Leskovec Advances in neural information processing systems 32, 2019	646	2019
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	537	2012
Holoclean: Holistic data repairs with probabilistic inference T Rekatsinas, X Chu, IF Ilyas, C Ré arXiv preprint arXiv:1702.00820, 2017	508	2017
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	435	2014
Representation tradeoffs for hyperbolic embeddings F Sala, C De Sa, A Gu, C Ré International conference on machine learning, 4460-4469, 2018	428	2018
Parallel stochastic gradient algorithms for large-scale matrix completion B Recht, C Ré Mathematical Programming Computation 5 (2), 201-226, 2013	407	2013
Worst-case optimal join algorithms HQ Ngo, E Porat, C Ré, A Rudra Journal of the ACM (JACM) 65 (3), 1-40, 2018	399	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	395	2020
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	395	2017

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