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paper.bib
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@phdthesis{Beal:2003,
author = "Matthew J. Beal",
title = "Variational Algorithms for Approximate {Bayesian} Inference",
year = "2003",
school = {Gatsby Computational Neuroscience Unit, University College London},
doi = {10.1214/06-ba126}
}
@book{Bishop:2006,
author = "Christopher M. Bishop",
title = "Pattern Recognition and Machine Learning",
year = "2006",
publisher = "Springer-Verlag",
isbn = {9780387310732}
}
@book{Gelman:2013,
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title = "{Bayesian} Data Analysis",
edition = "3rd",
year = "2013",
publisher = {Chapman and Hall},
series = {CRC Texts in Statistical Science},
isbn = {9781439840955}
}
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editor = "W. R. Gilks and S. Richardson and David Spiegelhalter",
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year = "1995",
publisher = {Chapman and Hall},
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author = "Trevor Hastie and Robert Tibishirani and Jerome Friedman",
title = "The Elements of Statistical Learning",
edition = "2nd",
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series = {Springer Series in Statistics},
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}
@book{Murphy:2012,
author = "Kevin P. Murphy",
title = "Machine Learning: A Probabilistic Perspective",
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@inproceedings{Wipf:2007,
title = "A New View of Automatic Relevance Determination",
author = "David P. Wipf and Srikantan S. Nagarajan",
booktitle = "Advances in Neural Information Processing Systems 20",
editor = "J. C. Platt and D. Koller and Y. Singer and S. T. Roweis",
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publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/3372-a-new-view-of-automatic-relevance-determination.pdf}
}
@article{Tibshirani:1996,
author = "Robert Tibshirani",
title = "Regression Shrinkage and Selection via the {Lasso}",
journal = {Journal of the Royal Statistical Society B},
year = "1996",
pages = "267--288",
volume = "58",
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}
@article{MacKay:1992,
author = "David J. C. MacKay",
title = "{Bayesian} Interpolation",
journal = {Neural Computation},
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volume = "4",
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}
@article{George:1993,
author = "Edward I. George and Robert E. {McCulloch}",
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year = "1993",
volume = "88",
number = "423",
pages = "881-889",
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}
@book{Neal:1996,
author = "Radford M. Neal",
title = "Bayesian Learning for Neural Networks",
publisher = "Springer-Verlag",
year = "1996",
doi = {10.1007/978-1-4612-0745-0}
}
@article{Tipping:2001,
author = "M. E. Tipping",
title = "Sparse {Bayesian} Learning and the Relevance Vector Machine Ensembles",
journal = {Journal of Machine Learning Research},
year = "2001",
volume = "1",
pages = "211--244",
doi = {10.1109/icdm.2012.58}
}
@misc{Drugowitsch:2013,
author = "Jan Drugowitsch",
title = "Variational {Bayesian} inference for linear and logistic regression",
year = 2013,
howpublished = {\href{https://arxiv.org/abs/1310.5438}{\tt arXiv:1310.5438 [stat.ML]}},
}
@article{Kanitscheider:2015,
author = "Ingmar Kanitscheider and Ruben Coen-Cagli and Adam Kohn and Alexandre Pouget",
title = "Measuring {Fisher} Information Accurately in Correlated Neural Populations",
journal = "{PLoS} Computational Biology",
year = "2015",
volume = "11",
number = "6",
pages = "e1004218",
doi = {10.1371/journal.pcbi.1004218}
}
@article{Oh:2016,
author = "Hanna Oh and Jeffrey M. Beck and Pingping Zhu and Marc A. Sommer and Silvia Ferrari and Tobias Egner",
title = "Satisficing in Split-Second Decision Making is Characterized by Strategic Cue Discounting",
journal = {Journal of Experimental Psychology: Learning, Memory, and Cognition},
year = "2016",
volume = "42",
number = "12",
pages = "1937--1956",
doi = {10.1037/xlm0000284}
}
@article{Wang:2017,
author = "Shaoming Wang and Bob Rehder",
title = "Multi-attribute Decision-making is Best Characterized by an Attribute-Wide Reinforcement Learning Model",
journal = {bioRxiv},
year = "2017",
doi = {10.1101/234732}
}
@article{Ruxanda:2018,
author = "Gheorghe Ruxanda and Catalina Zahfir and Andreea Muraru",
title = "Predicting financial distress from {Romanian} companies",
journal = {Technological and Economic Development of Economy},
year = "2018",
volume = "24",
number = "6",
pages = "2318--2337",
doi = {10.3846/tede.2018.6736}
}