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22 changes: 22 additions & 0 deletions docs/general/citations.md
Original file line number Diff line number Diff line change
Expand Up @@ -28,6 +28,28 @@ interferometer non-uniform FFT (`nufftax` and its FINUFFT algorithm, keys `nufft
`finufft`, see below), and the critical-curve/caustic solver (`Jax-Zero-Contour`, key
`jax_zero_contour`, see below).

If you use the learning-rate-free `af.MultiStartProdigy` search, also cite the Prodigy
method under the key `prodigy`. It is a published algorithm in its own right, run through
Optax's implementation (`optax.contrib.prodigy`), so cite it alongside `optax` rather than
in place of it:

```bibtex
@inproceedings{prodigy,
author = {Mishchenko, Konstantin and Defazio, Aaron},
title = {{Prodigy: An Expeditiously Adaptive Parameter-Free Learner}},
booktitle = {Proceedings of the 41st International Conference on Machine Learning},
series = {Proceedings of Machine Learning Research},
volume = {235},
pages = {35779--35804},
publisher = {PMLR},
url = {https://proceedings.mlr.press/v235/mishchenko24a.html},
year = {2024}
}
```

The reference implementation is at <https://github.com/konstmish/prodigy> and the preprint
at <https://arxiv.org/abs/2306.06101>.

## Jax-Zero-Contour

If you use the zero-contour method for critical curve and caustic computation (the default in
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12 changes: 12 additions & 0 deletions files/citations.bib
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Expand Up @@ -370,6 +370,18 @@ @software{optax
year = {2020}
}

@inproceedings{prodigy,
author = {Mishchenko, Konstantin and Defazio, Aaron},
title = {{Prodigy: An Expeditiously Adaptive Parameter-Free Learner}},
booktitle = {Proceedings of the 41st International Conference on Machine Learning},
series = {Proceedings of Machine Learning Research},
volume = {235},
pages = {35779--35804},
publisher = {PMLR},
url = {https://proceedings.mlr.press/v235/mishchenko24a.html},
year = {2024}
}

@article{anesthetic,
author = {Handley, Will},
title = {anesthetic: nested sampling visualisation},
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