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Adaptive gradient descent without descent
Jupyter Notebook Python
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movielens Simple experiments Oct 21, 2019
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README.org Link for the arxiv paper Oct 22, 2019
algorithms.py Simple experiments Oct 21, 2019
matrix_factorization.ipynb Simple experiments Oct 21, 2019
quadratic_minimization.ipynb Simple experiments Oct 21, 2019

README.org

About

This is a supplementary code (in Python 3.6) for the paper Y. Malitsky and K. Mishchenko “Adaptive gradient descent without descent”

Usage

There are 5 experiments in total, each of them has its own Jupyter notebook.

Quadratic minimization

Logistic regression

Matrix facorization

Neural networks

Cubic regularization

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