Publications#

How to Cite#

If you publish work that uses imate, 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 \(\mathbf{A} + t \mathbf{B}\). Statistics and Computing 32, 108. DOI

@article{Ameli2022,
    title    = {Interpolating log-determinant and trace of the powers of matrix \(\mathbf{A} + t \mathbf{B}\)},
    author   = {Ameli, Siavash and Shadden, Shawn C.},
    journal  = {Statistics and Computing},
    volume   = {32},
    number   = {6},
    pages    = {108},
    month    = {Nov},
    year     = {2022},
    doi      = {10.1007/s11222-022-10173-4},
    url      = {https://doi.org/10.1007/s11222-022-10173-4},
}

[2]

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

@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 imate#

[3]

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

@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.

@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/}}
}