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Code for "Optimising Distributions with Natural Gradient Surrogates"

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sngd

Code to accompany the paper "Optimising Distributions with Natural Gradient Surrogates" (AISTATS 2024).

NB: we have only included synthetic datasets in this repository; details of the datasets used in the paper can be found in Appendix D.

Example usage:

pip install -e .
python -m experiments.mvsn_ml sngd --dataset=synthetic --lr-theta=1e-2 --lr-lam=1e-2

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Code for "Optimising Distributions with Natural Gradient Surrogates"

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