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Christopher Ré

Showing results (11-20 of 66) with videos related to

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Proceedings of the Fourth Workshop on Data Analytics at Scale (Danac 2015) : May 31St, 2015, Melbourne, Australia. Workshop on Data Analytics in the Cloud (4Th : 2015 : Melbourne, Vic.)|June 18, 2016
Caffe con Troll: Shallow Ideas to Speed Up Deep LearningStefan Hadjis, Firas Abuzaid, Ce Zhang, et al.
Proceedings of Machine Learning Research|May 28, 2019
Representation Tradeoffs for Hyperbolic EmbeddingsChristopher De Sa, Albert Gu, Christopher Ré, et al.
Advances in Neural Information Processing Systems|March 28, 2017
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How MuchBryan He, Christopher De Sa, Ioannis Mitliagkas, et al.
Proceedings. International Symposium on Computer Architecture|February 3, 2018
Understanding and Optimizing Asynchronous Low-Precision Stochastic Gradient DescentChristopher De Sa, Matthew Feldman, Christopher Ré, et al.
Advances in Neural Information Processing Systems|June 23, 2016
Taming the Wild: A Unified Analysis of Hogwild!-Style AlgorithmsChristopher De Sa, Ce Zhang, Kunle Olukotun, et al.
Proceedings. ACM-SIGMOD International Conference on Management of Data|January 13, 2017
EmptyHeaded: A Relational Engine for Graph ProcessingChristopher R Aberger, Susan Tu, Kunle Olukotun, et al.
Plos One|December 2, 2014
A machine reading system for assembling synthetic paleontological databasesShanan E Peters, Ce Zhang, Miron Livny, et al.
Proceedings of the ACM Conference on Health, Inference, and Learning|November 16, 2020
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical ImagingLuke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, et al.
Proceedings of Machine Learning Research|March 19, 2019
Learning the Structure of Generative Models without Labeled DataStephen H Bach, Bryan He, Alexander Ratner, et al.
Advances in Neural Information Processing Systems|June 10, 2016
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy WidthChristopher De Sa, Ce Zhang, Kunle Olukotun, et al.
Pageof 7

Showing results (11-20 of 66) with videos related to

Sort By:
Pageof 7
Proceedings of the Fourth Workshop on Data Analytics at Scale (Danac 2015) : May 31St, 2015, Melbourne, Australia. Workshop on Data Analytics in the Cloud (4Th : 2015 : Melbourne, Vic.)|June 18, 2016
Caffe con Troll: Shallow Ideas to Speed Up Deep LearningStefan Hadjis, Firas Abuzaid, Ce Zhang, et al.
Proceedings of Machine Learning Research|May 28, 2019
Representation Tradeoffs for Hyperbolic EmbeddingsChristopher De Sa, Albert Gu, Christopher Ré, et al.
Advances in Neural Information Processing Systems|March 28, 2017
Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How MuchBryan He, Christopher De Sa, Ioannis Mitliagkas, et al.
Proceedings. International Symposium on Computer Architecture|February 3, 2018
Understanding and Optimizing Asynchronous Low-Precision Stochastic Gradient DescentChristopher De Sa, Matthew Feldman, Christopher Ré, et al.
Advances in Neural Information Processing Systems|June 23, 2016
Taming the Wild: A Unified Analysis of Hogwild!-Style AlgorithmsChristopher De Sa, Ce Zhang, Kunle Olukotun, et al.
Proceedings. ACM-SIGMOD International Conference on Management of Data|January 13, 2017
EmptyHeaded: A Relational Engine for Graph ProcessingChristopher R Aberger, Susan Tu, Kunle Olukotun, et al.
Plos One|December 2, 2014
A machine reading system for assembling synthetic paleontological databasesShanan E Peters, Ce Zhang, Miron Livny, et al.
Proceedings of the ACM Conference on Health, Inference, and Learning|November 16, 2020
Hidden Stratification Causes Clinically Meaningful Failures in Machine Learning for Medical ImagingLuke Oakden-Rayner, Jared Dunnmon, Gustavo Carneiro, et al.
Proceedings of Machine Learning Research|March 19, 2019
Learning the Structure of Generative Models without Labeled DataStephen H Bach, Bryan He, Alexander Ratner, et al.
Advances in Neural Information Processing Systems|June 10, 2016
Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy WidthChristopher De Sa, Ce Zhang, Kunle Olukotun, et al.
Pageof 7