paper.bib

@misc{coullon2021efficient,
      title={Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC},
      author={Jeremie Coullon and Leah South and Christopher Nemeth},
      year={2021},
      eprint={2105.13059},
      archivePrefix={arXiv},
      primaryClass={stat.CO}
}

@article{nemeth2021stochastic,
  title={{Stochastic gradient Markov chain Monte Carlo}},
  author={Nemeth, Christopher and Fearnhead, Paul},
  journal={Journal of the American Statistical Association},
  volume={116},
  number={533},
  pages={433--450},
  year={2021},
  publisher={Taylor \& Francis}
}

@inproceedings{NIPS2015_Ma_complete_recipe,
 author = {Ma, Yi-An and Chen, Tianqi and Fox, Emily},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {C. Cortes and N. Lawrence and D. Lee and M. Sugiyama and R. Garnett},
 pages = {},
 publisher = {Curran Associates, Inc.},
 title = {A Complete Recipe for Stochastic Gradient MCMC},
 url = {https://proceedings.neurips.cc/paper/2015/file/9a4400501febb2a95e79248486a5f6d3-Paper.pdf},
 volume = {28},
 year = {2015}
}



@software{jax2018github,
  author = {James Bradbury and Roy Frostig and Peter Hawkins and Matthew James Johnson and Chris Leary and Dougal Maclaurin and George Necula and Adam Paszke and Jake Vander{P}las and Skye Wanderman-{M}ilne and Qiao Zhang},
  title = {{JAX}: composable transformations of {P}ython+{N}um{P}y programs},
  url = {http://github.com/google/jax},
  version = {0.2.5},
  year = {2018},
}

@article{baker2019sgmcmc,
title = {{sgmcmc}: An {R} Package for Stochastic Gradient {M}arkov chain {M}onte {C}arlo},
author = {Jack Baker and Paul Fearnhead and Emily B. Fox and Christopher Nemeth},
year = {2019},
month = {oct},
day = {31},
doi = {10.18637/jss.v091.i03},
volume = {91},
pages = {1--27},
journal = {Journal of Statistical Software},
issn = {1548-7660},
publisher = {University of California at Los Angeles},
number = {3},
}

@misc{tensorflow2015-whitepaper,
title={ {TensorFlow}: Large-Scale Machine Learning on Heterogeneous Systems},
url={https://www.tensorflow.org/},
note={Software available from tensorflow.org},
author={
    Mart\'{\i}n~Abadi and
    Ashish~Agarwal and
    Paul~Barham and
    Eugene~Brevdo and
    Zhifeng~Chen and
    Craig~Citro and
    Greg~S.~Corrado and
    Andy~Davis and
    Jeffrey~Dean and
    Matthieu~Devin and
    Sanjay~Ghemawat and
    Ian~Goodfellow and
    Andrew~Harp and
    Geoffrey~Irving and
    Michael~Isard and
    Yangqing Jia and
    Rafal~Jozefowicz and
    Lukasz~Kaiser and
    Manjunath~Kudlur and
    Josh~Levenberg and
    Dandelion~Man\'{e} and
    Rajat~Monga and
    Sherry~Moore and
    Derek~Murray and
    Chris~Olah and
    Mike~Schuster and
    Jonathon~Shlens and
    Benoit~Steiner and
    Ilya~Sutskever and
    Kunal~Talwar and
    Paul~Tucker and
    Vincent~Vanhoucke and
    Vijay~Vasudevan and
    Fernanda~Vi\'{e}gas and
    Oriol~Vinyals and
    Pete~Warden and
    Martin~Wattenberg and
    Martin~Wicke and
    Yuan~Yu and
    Xiaoqiang~Zheng},
  year={2015},
}
@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}
}

@unpublished{murphy2023 ,
      title={Probabilistic Machine Learning: Advanced Topics},
      author={Kevin Murphy},
      year={2023},
      url = {https://probml.github.io/pml-book/book2.html},
note = "In preparation",
}