Publications

How to Cite

If you publish work that uses pyrand, please consider citing the following manuscripts. This list will be updated as more publications are in progress.

[1]

Ameli, S., and Shadden. S. C. (2022). Interpolating Log-Determinant and Trace of the Powers of Matrix \(\mathbf{A} + t \mathbf{B}\). BibTeX View Article

@misc{arxiv.2009.07385,
    doi = {10.48550/ARXIV.2009.07385},
    author = {Ameli, S. and Shadden, S. C.},
    title = {Interpolating Log-Determinant and Trace of the Powers of Matrix $\mathbf{A} + t \mathbf{B}$},
    year = {2020},
    archivePrefix={arXiv},
    eprint = {2009.07385},
    primaryClass={math.NA},
    howpublished={\emph{arXiv}: 2009.07385 [math.NA]},
}

[2]

Ameli, S. (2022). IMATE, a high-performance python package for implicit matrix trace estimation. BibTeX

@misc{zenodo.308965310,
    title = {{IMATE}, a high-performance python package for implicit matrix trace estimation},
    author = {Ameli, S.},
    year = {2022},
    howpublished = {\url{https://pypi.org/project/imate/}}
}

Publications/Software Using pyrand

[3]

Ameli, S., and Shadden. S. C. (2022). Noise Estimation in Gaussian Process Regression. BibTeX View Article

@misc{arxiv.2206.09976,
    doi = {10.48550/ARXIV.2206.09976},
    title = {Noise Estimation in {Gaussian} Process Regression},
    author = {Ameli, S. and Shadden, S. C.},
    year = {2022},
    archivePrefix={arXiv},
    eprint={2206.09976},
    primaryClass={cs.LG},
    howpublished={\emph{arXiv}: 2206.09976 [cs.LG]},
}

[4]

Ameli, S. (2022). GLearn, a high-performance python package for machine learning using Gaussian process. BibTeX

@misc{zenodo.373664668,
    title = {{GLearn}, a high-performance python package for machine learning using {Gaussian} process},
    author = {Ameli, S.},
    year = {2022},
    howpublished = {\url{https://pypi.org/project/glearn/}}
}