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Dimitris Papailiopoulos

Speeding Up Distributed Machine Learning Using Codes

Jan 29, 2018
Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris Papailiopoulos, Kannan Ramchandran

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* This work is published in IEEE Transactions on Information Theory and presented in part at the NIPS 2015 Workshop on Machine Learning Systems and the IEEE ISIT 2016

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Approximate Gradient Coding via Sparse Random Graphs

Nov 17, 2017
Zachary Charles, Dimitris Papailiopoulos, Jordan Ellenberg

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Stability and Generalization of Learning Algorithms that Converge to Global Optima

Oct 23, 2017
Zachary Charles, Dimitris Papailiopoulos

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* 27 pages, 5 figures

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Bipartite Correlation Clustering -- Maximizing Agreements

Mar 09, 2016
Megasthenis Asteris, Anastasios Kyrillidis, Dimitris Papailiopoulos, Alexandros G. Dimakis

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* To appear in AISTATS 2016

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On the Worst-Case Approximability of Sparse PCA

Jul 21, 2015
Siu On Chan, Dimitris Papailiopoulos, Aviad Rubinstein

* 20 pages

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