Relational Learning with Variational Bayes

Kuang-Hung Liu

Keywords: [ psychology ] [ variational inference ] [ unsupervised learning ] [ relational learning ]

[ Abstract ]
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Tue 26 Apr 2:30 a.m. PDT — 4:30 a.m. PDT


In psychology, relational learning refers to the ability to recognize and respond to relationship among objects irrespective of the nature of those objects. Relational learning has long been recognized as a hallmark of human cognition and a key question in artificial intelligence research. In this work, we propose an unsupervised learning method for addressing the relational learning problem where we learn the underlying relationship between a pair of data irrespective of the nature of those data. The central idea of the proposed method is to encapsulate the relational learning problem with a probabilistic graphical model in which we perform inference to learn about data relationship and other relational processing tasks.

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