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Implementation of NeurIPS 2020 paper: Generalization Bound of Gradient Descent for Non-Convex Metric Learning

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SMILE

The core code of the paper "Generalization Bound of Gradient Descent for Non-Convex Metric Learning".

Requirement

MATLAB R2018a or later

Usage

  • The file main.m shows how to implement the SMILE method.
  • The file fun_SMILE.m file is the main function.

Results

Classification accuracy on the Australian dataset: mean value - 85.98%, standard deviation - 0.71%

Version history

  • v1 (21/10/2020): initial release.

If you have any queries about the code, please feel free to contact me: Xiaochen Yang (xiaochen.yang.16@ucl.ac.uk)

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Implementation of NeurIPS 2020 paper: Generalization Bound of Gradient Descent for Non-Convex Metric Learning

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