Provable Gaussian Embedding with One Observation
Abstract
The success of machine learning methods heavily relies on having an appropriate representation for data at hand. Traditionally, machine learning approaches relied on user-defined heuristics to extract features encoding structural information about data. However, recently there has been a surge in approaches that learn how to encode the data automatically in a low dimensional space. Exponential family embedding provides a probabilistic framework...
Paper Details
Title
Provable Gaussian Embedding with One Observation
Published Date
Jan 1, 2018
Volume
31
Pages
6764 - 6774
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