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Foundations and Trends in Machine Learning, Volume 10

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Volume 10, Numbers 1-2, 2017

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  - journals/ftml/MuandetFSS17
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  - https://dblp.org/rec/journals/ftml/MuandetFSS17
Krikamol Muandet, Kenji Fukumizu, Bharath K. Sriperumbudur, Bernhard Schölkopf:
Kernel Mean Embedding of Distributions: A Review and Beyond. 1-141

Volume 10, Numbers 3-4, 2017

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Prateek Jain, Purushottam Kar:
Non-convex Optimization for Machine Learning. 142-336

Volume 10, Numbers 5-6, 2018

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George H. Chen, Devavrat Shah:
Explaining the Success of Nearest Neighbor Methods in Prediction. 337-588

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