Stochastic Thermodynamics of Learning Parametric Probabilistic Models

We have formulated a family of machine learning problems as the time evolution of parametric probabilistic models (PPMs), inherently rendering a thermodynamic process. Our primary motivation is to leverage the rich toolbox of thermodynamics of information to assess the information-theoretic content...

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Bibliographic Details
Main Author: Shervin S. Parsi
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/26/2/112