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Foundations and Trends in Machine Learning, Volume 10
Volume 10, Numbers 1-2, 2017
- 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
- Prateek Jain, Purushottam Kar
:
Non-convex Optimization for Machine Learning. 142-336
Volume 10, Numbers 5-6, 2018
- George H. Chen, Devavrat Shah:
Explaining the Success of Nearest Neighbor Methods in Prediction. 337-588
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