Provable Gaussian Embedding with One Observation

Volume: 31, Pages: 6764 - 6774
Published: Jan 1, 2018
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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