R/bibentries.R

In mlr-org/mlr3tuning: Hyperparameter Optimization for 'mlr3'

#' @importFrom utils bibentry
bibentries = c(
  xiang_2013 = bibentry("article",
    title        = "Generalized Simulated Annealing for Global Optimization: The {GenSA} Package",
    author       = "Yang Xiang and Sylvain Gubian and Brian Suomela and Julia Hoeng",
    year         = "2013",
    journal      = "The R Journal",
    publisher    = "The R Foundation",
    volume       = "5",
    number       = "1",
    pages        = "13",
    doi          = "10.32614/rj-2013-002"
  ),

  tsallis_1996 = bibentry("article",
    title        = "Generalized simulated annealing",
    author       = "Constantino Tsallis and Daniel A. Stariolo",
    year         = "1996",
    month        = "nov",
    journal      = "Physica A: Statistical Mechanics and its Applications",
    publisher    = "Elsevier {BV}",
    volume       = "233",
    number       = "1-2",
    pages        = "395--406",
    doi          = "10.1016/s0378-4371(96)00271-3"
  ),

  bergstra_2012 = bibentry("article",
    title        = "Random Search for Hyper-Parameter Optimization",
    author       = "James Bergstra and Yoshua Bengio",
    year         = "2012",
    journal      = "Journal of Machine Learning Research",
    volume       = "13",
    number       = "10",
    pages        = "281--305",
    url          = "https://jmlr.csail.mit.edu/papers/v13/bergstra12a.html"
  ),

  johnson_2014 = bibentry("misc",
    title        = "The NLopt nonlinear-optimization package",
    author       = "Johnson, Steven G",
    url          = "https://github.com/stevengj/nlopt",
    year         = "2020"
  ),

  lopez_2016 = bibentry("article",
    title        = "The irace package: Iterated racing for automatic algorithm configuration",
    author       = "Manuel Lopez-Ibanez and Jeremie Dubois-Lacoste and Leslie Perez Caceres and Mauro Birattari and Thomas Stuetzle",
    year         = "2016",
    journal      = "Operations Research Perspectives",
    volume       = "3",
    pages        = "43--58",
    doi          = "https://doi.org/10.1016/j.orp.2016.09.002"
  ),

  hansen_2016 = bibentry("misc",
    author        = "Nikolaus Hansen",
    title         = "The CMA Evolution Strategy: A Tutorial",
    year          = "2016",
    eprint        = "1604.00772",
    archivePrefix = "arXiv",
    primaryClass  = "cs.LG"
  ),

  kuhn2013 = bibentry("Inbook",
    author    = "Kuhn, Max and Johnson, Kjell",
    chapter   = "Over-Fitting and Model Tuning",
    title     = "Applied Predictive Modeling",
    year      = "2013",
    publisher = "Springer New York",
    address   = "New York, NY",
    pages     = "61--92",
    isbn      = "978-1-4614-6849-3"
  )
)