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@misc{yaglm-github,
author = {},
title = {\texttt{YAGLM}},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/yaglm/yaglm}},
}
@misc{islp-github,
author = {},
title = {\texttt{ISLP}},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/intro-stat-learning/ISLP}},
}
@article{harris2020array,
title = {Array programming with {NumPy}},
author = {Charles R. Harris and K. Jarrod Millman and St{\'{e}}fan J.
van der Walt and Ralf Gommers and Pauli Virtanen and David
Cournapeau and Eric Wieser and Julian Taylor and Sebastian
Berg and Nathaniel J. Smith and Robert Kern and Matti Picus
and Stephan Hoyer and Marten H. van Kerkwijk and Matthew
Brett and Allan Haldane and Jaime Fern{\'{a}}ndez del
R{\'{i}}o and Mark Wiebe and Pearu Peterson and Pierre
G{\'{e}}rard-Marchant and Kevin Sheppard and Tyler Reddy and
Warren Weckesser and Hameer Abbasi and Christoph Gohlke and
Travis E. Oliphant},
year = {2020},
month = sep,
journal = {Nature},
volume = {585},
number = {7825},
pages = {357--362},
doi = {10.1038/s41586-020-2649-2},
publisher = {Springer Science and Business Media {LLC}},
url = {https://doi.org/10.1038/s41586-020-2649-2}
}
@article{virtanen2020scipy,
author = {Virtanen, P. and Gommers, R. and Oliphant, T. E. and
Haberland, M. and Reddy, T. and Cournapeau, D. and
Burovski, E. and Peterson, P. and Weckesser, W. and
Bright, J. and van der Walt, S. J. and Brett, M. and
Wilson, J. and K. J. Millman and Mayorov, N. and
Nelson, A. R. J. and Jones, E. and Kern, R. and
Larson, E. and Carey, C. J. and Polat, \.{I}. and
Feng, Y. and Moore, E. W. and VanderPlas, J. and
Laxalde, D. and Perktold, J. and Cimrman, R. and
Henriksen, I. and Quintero, E. A. and Harris, C. R. and
Archibald, A. M. and Ribeiro, A. H. and Pedregosa, F. and
van Mulbregt, P. and {SciPy 1.0 Contributors}},
journal = {Nature Methods},
pages = {261--272},
title = {{SciPy} 1.0---Fundamental Algorithms for Scientific
Computing in {Python}},
volume = {17},
year = {2020},
}
@article{hunter2007matplotlib,
author = {Hunter, John D},
journal = {Computing in Science \& Engineering},
number = {3},
pages = {90--95},
publisher = {IEEE},
title = {Matplotlib: A {2D} graphics environment},
volume = {9},
year = {2007},
url = {https://doi.org/10.1109/MCSE.2007.55},
}
@inproceedings{mckinney-proc-scipy-2010,
author = {Wes McKinney},
booktitle = {Proceedings of the 9th Python in Science Conference},
editor = {St\'efan van der Walt and Jarrod Millman},
pages = {51--56},
title = {Data Structures for Statistical Computing in
{Python}},
year = {2010},
}
@article{pedregosa2011scikit,
author = {Pedregosa, Fabian and Varoquaux, Ga{\"e}l and
Gramfort, Alexandre and Michel, Vincent and
Thirion, Bertrand and Grisel, Olivier and
Blondel, Mathieu and Prettenhofer, Peter and
Weiss, Ron and Dubourg, Vincent and Weiss, Ron and
Dubourg, Vincent and Vanderplas, Jake and
Passos, Alexandre and Cournapeau, David and
Brucher, Matthieu and Perrot, Matthieu and
Duchesnay, {\'E}douard},
journal = {Journal of Machine Learning Research},
number = {Oct},
pages = {2825--2830},
title = {Scikit-learn: Machine Learning in {P}ython},
volume = {12},
year = {2011},
url = {http://www.jmlr.org/papers/volume12/pedregosa11a/
pedregosa11a.pdf},
}
@article{vanderwalt2014scikit,
author = {van der Walt, St{\'e}fan and
Sch{\"o}nberger, Johannes L and Nunez-Iglesias, Juan and
Boulogne, Fran{\c{c}}ois and Warner, Joshua D and
Yager, Neil and Gouillart, Emmanuelle and Yu, Tony and
{the scikit-image contributors}},
journal = {PeerJ},
pages = {e453},
publisher = {PeerJ Inc.},
title = {{scikit-image}: image processing in {P}ython},
volume = {2},
year = {2014},
url = {https://doi.org/10.7717/peerj.453},
}
@article{vanderwalt2011numpy,
author = {van der Walt, St{\'e}fan and Colbert, S Chris and
Varoquaux, Ga{\"e}l},
journal = {Computing in Science \& Engineering},
note = {\newline \textbf{Discusses the NumPy array data
structure with a focus on how it enables efficient
computation.}},
number = {2},
pages = {22--30},
publisher = {IEEE},
title = {The {NumPy} array: a structure for efficient
numerical computation},
volume = {13},
year = {2011},
url = {https://doi.org/10.1109/MCSE.2011.37},
}
@article{perez2007ipython,
author = {P{\'e}rez, Fernando and Granger, Brian E},
journal = {Computing in Science \& Engineering},
number = {3},
pages = {21--29},
publisher = {IEEE},
title = {{IP}ython: a system for interactive scientific
computing},
volume = {9},
year = {2007},
url = {https://doi.org/10.1109/MCSE.2007.53},
}
@article{perez2011python,
title={Python: an ecosystem for scientific computing},
author={Perez, Fernando and Granger, Brian E and Hunter, John D},
journal={Computing in Science \& Engineering},
volume={13},
number={2},
pages={13--21},
year={2011},
publisher={IEEE}
}
@manual{r2023r,
title = {R: A Language and Environment for Statistical Computing},
author = {{R Core Team}},
organization = {R Foundation for Statistical Computing},
address = {Vienna, Austria},
year = {2023},
url = {https://www.R-project.org/},
}
@inproceedings{hagberg2008,
address = {Pasadena, CA USA},
author = {Aric A. Hagberg and Daniel A. Schult and
Pieter J. Swart},
booktitle = {Proceedings of the 7th Python in Science Conference},
editor = {Ga\"el Varoquaux and Travis Vaught and
K. Jarrod Millman},
pages = {11--15},
title = {Exploring Network Structure, Dynamics, and Function
using {NetworkX}},
year = {2008},
}
@article{astropy:2013,
author = {{Astropy Collaboration} and {Robitaille}, T.~P. and
{Tollerud}, E.~J. and {Greenfield}, P. and
{Droettboom}, M. and {Bray}, E. and {Aldcroft}, T. and
{Davis}, M. and {Ginsburg}, A. and
{Price-Whelan}, A.~M. and {Kerzendorf}, W.~E. and
{Conley}, A. and {Crighton}, N. and {Barbary}, K. and
{Muna}, D. and {Ferguson}, H. and {Grollier}, F. and
{Parikh}, M.~M. and {Nair}, P.~H. and {Unther}, H.~M. and
{Deil}, C. and {Woillez}, J. and {Conseil}, S. and
{Kramer}, R. and {Turner}, J.~E.~H. and {Singer}, L. and
{Fox}, R. and {Weaver}, B.~A. and {Zabalza}, V. and
{Edwards}, Z.~I. and {Azalee Bostroem}, K. and
{Burke}, D.~J. and {Casey}, A.~R. and
{Crawford}, S.~M. and {Dencheva}, N. and {Ely}, J. and
{Jenness}, T. and {Labrie}, K. and {Lim}, P.~L. and
{Pierfederici}, F. and {Pontzen}, A. and {Ptak}, A. and
{Refsdal}, B. and {Servillat}, M. and
{Streicher}, O.},
journal = {Astronomy \& Astrophysics},
month = oct,
pages = {A33},
title = {{Astropy: A community Python package for astronomy}},
volume = {558},
year = {2013},
doi = {10.1051/0004-6361/201322068},
eid = {A33},
}
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author = {{Price-Whelan}, A.~M. and {Sip{\H{o}}cz}, B.~M. and
{G{\"u}nther}, H.~M. and {Lim}, P.~L. and
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{Bradley}, L.~D. and {P{\'e}rez-Su{\'a}rez}, D. and
{de Val-Borro}, M. and {Paper Contributors}, (Primary and
{Aldcroft}, T.~L. and {Cruz}, K.~L. and
{Robitaille}, T.~P. and {Tollerud}, E.~J. and
{Coordination Committee}, (Astropy and {Ardelean}, C. and
{Babej}, T. and {Bach}, Y.~P. and {Bachetti}, M. and
{Bakanov}, A.~V. and {Bamford}, S.~P. and
{Barentsen}, G. and {Barmby}, P. and {Baumbach}, A. and
{Berry}, K.~L. and {Biscani}, F. and {Boquien}, M. and
{Bostroem}, K.~A. and {Bouma}, L.~G. and
{Brammer}, G.~B. and {Bray}, E.~M. and
{Breytenbach}, H. and {Buddelmeijer}, H. and
{Burke}, D.~J. and {Calderone}, G. and
{Cano Rodr{\'\i}guez}, J.~L. and {Cara}, M. and
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{Copin}, Y. and {Corrales}, L. and {Crichton}, D. and
{D{\textquoteright}Avella}, D. and {Deil}, C. and
{Depagne}, {\'E}. and {Dietrich}, J.~P. and
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{Finethy}, T. and {Fox}, R.~T. and {Garrison}, L.~H. and
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{Sakurikar}, P. and {Seifert}, M. and
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{Singanamalla}, S. and {Singer}, L.~P. and
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{Thomas}, S.~W. and {Tremblay}, G.~R. and
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{Watkins}, L.~L. and {Weaver}, B.~A. and
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journal = {The Astronomical Journal},
month = sep,
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Project and Status of the v2.0 Core Package}},
volume = {156},
year = {2018},
}
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author = {Millman, K Jarrod and Brett, Matthew},
journal = {Computing in Science \& Engineering},
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volume = {9},
year = {2007},
url = {https://doi.org/10.1109/MCSE.2007.46},
}
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title={The Astropy Project: Building an open-science project and status of the v2. 0 core package},
author={Price-Whelan, Adrian M and Sip{\H{o}}cz, BM and G{\"u}nther, HM and Lim, PL and Crawford, SM and Conseil, S and Shupe, DL and Craig, MW and Dencheva, N and Ginsburg, A and others},
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number={3},
pages={123},
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}
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title={An {I}ntroduction to {S}tatistical {L}earning: with {A}pplications in {R}},
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@InProceedings{pmlr-v80-massias18a,
title = {Celer: a Fast Solver for the Lasso with Dual Extrapolation},
author = {Massias, Mathurin and Gramfort, Alexandre and Salmon, Joseph},
booktitle = {Proceedings of the 35th International Conference on Machine Learning},
pages = {3321--3330},
year = {2018},
volume = {80},
}
@article{millman2011python,
title={Python for scientists and engineers},
author={Millman, K Jarrod and Aivazis, Michael},
journal={Computing in science \& engineering},
volume={13},
number={2},
pages={9--12},
year={2011},
publisher={IEEE}
}
@article{millman2014developing,
author = {Millman, K Jarrod and P{\'e}rez, Fernando},
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Raton, FL},
pages = {149--183},
title = {Developing open-source scientific practice},
year = {2014},
url = {http://www.jarrodmillman.com/publications/millman2014developing.pdf},
}
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author = {Greg Wilson},
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Better Code by Making Them More Productive},
year = {2006},
}
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author = {Millman, K Jarrod and Brett, Matthew and
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neuroimaging},
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year = {2018},
}
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{Python}},
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}
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year = {1996},
}
@book{james2023introduction,
title="An {I}ntroduction to {S}tatistical {L}earning: with {A}pplications in {P}ython",
author="James, Gareth and Witten, Daniela and Hastie, Trevor and Tibshirani, Robert and Taylor, Jonathan",
publisher="Springer Publication",
year=2023,
url="https://link.springer.com/book/10.1007/978-3-031-38747-0",
doi="10.1007/978-3-031-38747-0",
series="{S}pringer {T}exts in {S}tatistics"
}
@inproceedings{nbi0,
author = "Zhang, Keming and Jayasinghe, Tharindu and Bloom, Joshua",
title = "Stellar Spectra Fitting with Amortized Neural Posterior Estimation and nbi",
year = 2016,
maintitle = "Fortieth International Conference on Machine Learning (ICML 2023)",
booktitle = "Workshop on Machine Learning for Astrophysics"
}
@inproceedings{nbi1,
author = "Zhang, Keming and Bloom, Joshua and Hernitschek, Nina",
title = "nbi: the Astronomer’s Package for Neural Posterior Estimation",
year = 2023,
maintitle = "Fortieth International Conference on Machine Learning (ICML 2023)",
booktitle = "Workshop on Machine Learning for Astrophysics"
}
@inproceedings{nbi2,
author = "Zhang, Keming and Gaudi Scott B. and Bloom, Joshua",
title = "A Ubiquitous Unifying Degeneracy in 2-body Microlensing Systems",
year = 2022,
maintitle = "Bulletin of the American Astronomical Society"
}
@inproceedings{nbi3,
author = "Blaum, Jacqueline and Bloom, Joshua",
title = "Stellar Insights at Scale with Likelihood-Free Inference",
year = 2022,
maintitle = "American Astronomical Society Meeting Abstracts"
}
@article{carmichael2021yaglm,
title={yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties},
author={Carmichael, Iain and Keefe, Thomas and Giertych, Naomi and Williams, Jonathan P},
journal={arXiv preprint arXiv:2110.05567},
year={2021}
}
@article{carmichael2021joint,
title={Joint and individual analysis of breast cancer histologic images and genomic covariates},
author={Carmichael, Iain and Calhoun, Benjamin C and Hoadley, Katherine A and Troester, Melissa A and Geradts, Joseph and Couture, Heather D and Olsson, Linnea and Perou, Charles M and Niethammer, Marc and Hannig, Jan and others},
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volume={15},
number={4},
pages={1697},
year={2021},
publisher={NIH Public Access}
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@article{carmichael2020learning,
title={Learning sparsity and block diagonal structure in multi-view mixture models},
author={Carmichael, Iain},
journal={arXiv preprint arXiv:2012.15313},
year={2020}
}
@article{perry2021mvlearn,
title={mvlearn: Multiview machine learning in python},
author={Perry, Ronan and Mischler, Gavin and Guo, Richard and Lee, Theodore and Chang, Alexander and Koul, Arman and Franz, Cameron and Richard, Hugo and Carmichael, Iain and Ablin, Pierre and others},
journal={The Journal of Machine Learning Research},
volume={22},
number={1},
pages={4938--4944},
year={2021},
publisher={JMLRORG}
}
@article{scikit-learn,
title={Scikit-learn: Machine Learning in {P}ython},
author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
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