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Chromatic Learning for Sparse Datasets

Jun 06, 2020
Vladimir Feinberg, Peter Bailis

* 15 pages, 8 figures, under review 

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On the Computational Inefficiency of Large Batch Sizes for Stochastic Gradient Descent

Nov 30, 2018
Noah Golmant, Nikita Vemuri, Zhewei Yao, Vladimir Feinberg, Amir Gholami, Kai Rothauge, Michael W. Mahoney, Joseph Gonzalez

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Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning

Feb 28, 2018
Vladimir Feinberg, Alvin Wan, Ion Stoica, Michael I. Jordan, Joseph E. Gonzalez, Sergey Levine

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Large Linear Multi-output Gaussian Process Learning

Oct 23, 2017
Vladimir Feinberg, Li-Fang Cheng, Kai Li, Barbara E Engelhardt

* 9 pages, 4 figures, 4 tables 

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