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Automap: Towards Ergonomic Automated Parallelism for ML Models


Dec 06, 2021
Michael Schaarschmidt, Dominik Grewe, Dimitrios Vytiniotis, Adam Paszke, Georg Stefan Schmid, Tamara Norman, James Molloy, Jonathan Godwin, Norman Alexander Rink, Vinod Nair, Dan Belov

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* Workshop on ML for Systems at NeurIPS 2021 

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Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs


Jul 22, 2021
Nicolas Sonnerat, Pengming Wang, Ira Ktena, Sergey Bartunov, Vinod Nair

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Solving Mixed Integer Programs Using Neural Networks


Dec 23, 2020
Vinod Nair, Sergey Bartunov, Felix Gimeno, Ingrid von Glehn, Pawel Lichocki, Ivan Lobov, Brendan O'Donoghue, Nicolas Sonnerat, Christian Tjandraatmadja, Pengming Wang, Ravichandra Addanki, Tharindi Hapuarachchi, Thomas Keck, James Keeling, Pushmeet Kohli, Ira Ktena, Yujia Li, Oriol Vinyals, Yori Zwols

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Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving


Dec 04, 2019
Xujie Si, Yujia Li, Vinod Nair, Felix Gimeno

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REGAL: Transfer Learning For Fast Optimization of Computation Graphs


May 30, 2019
Aditya Paliwal, Felix Gimeno, Vinod Nair, Yujia Li, Miles Lubin, Pushmeet Kohli, Oriol Vinyals

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A Quantitative Evaluation Framework for Missing Value Imputation Algorithms


Nov 10, 2013
Vinod Nair, Rahul Kidambi, Sundararajan Sellamanickam, S. Sathiya Keerthi, Johannes Gehrke, Vijay Narayanan

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* 9 pages 

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A Structured Prediction Approach for Missing Value Imputation


Nov 09, 2013
Rahul Kidambi, Vinod Nair, Sundararajan Sellamanickam, S. Sathiya Keerthi

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* 9 Pages 

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