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MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in
  Large-Scale Machine Learning

MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning

3 June 2019
Diego Granziol
Binxin Ru
S. Zohren
Xiaowen Dong
Michael A. Osborne
Stephen J. Roberts
ArXiv (abs)PDFHTML

Papers citing "MEMe: An Accurate Maximum Entropy Method for Efficient Approximations in Large-Scale Machine Learning"

3 / 3 papers shown
Title
Applications of Entropy in Data Analysis and Machine Learning: A Review
Salomé A. Sepúveda Fontaine
José M. Amigó
110
4
0
04 Mar 2025
The Information Projection in Moment Inequality Models: Existence, Dual
  Representation, and Approximation
The Information Projection in Moment Inequality Models: Existence, Dual Representation, and Approximation
Rami Victor Tabri
34
0
0
15 Jul 2021
A Maximum Entropy approach to Massive Graph Spectra
A Maximum Entropy approach to Massive Graph Spectra
Diego Granziol
Robin Ru
S. Zohren
Xiaowen Dong
Michael A. Osborne
Stephen J. Roberts
23
1
0
19 Dec 2019
1