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references.bib
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@book{bishop2006,
title={Pattern recognition and machine learning},
author={Bishop, Christopher M.},
year={2006},
publisher={Springer},
ISBN={978-0-387-31073-2},
url={https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf}
}
@book{murphy2012,
title={Machine learning: a probabilistic perspective},
author={Murphy, Kevin P},
year={2012},
publisher={MIT Press},
url = "http://probml.github.io/book0"
}
@book{murphy2022,
title = "Probabilistic Machine Learning: An introduction",
author = "Kevin P. Murphy",
year = 2022,
publisher = "MIT Press",
url = "http://probml.github.io/book1"
}
@book{murphy2023,
title = "Probabilistic Machine Learning: Advanced Topics",
author = "Kevin P. Murphy",
year = 2023,
publisher = "MIT Press",
url = "http://probml.github.io/book2"
}
@book{brunton2019,
title={Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control},
author={Brunton, Steven L. and Kutz, J. Nathan},
year={2019},
DOI={10.1017/9781108380690},
publisher={Cambridge University Press},
place={Cambridge},
url="http://databookuw.com"
}
@misc{cs229notes,
title = {CS229 Lecture Notes},
author = {Andrew Ng},
year = {2022},
url = "https://cs229.stanford.edu/notes2022fall/main_notes.pdf",
howpublished = "Running file URL: \url{https://cs229.stanford.edu/main_notes.pdf}"
}
@book{bolstad2009,
title={Understanding Computational Bayesian Statistics},
author={Bolstad, William M.},
year={2009},
publisher={Wiley},
ISBN={978-0-470-04609-8},
url={https://onlinelibrary.wiley.com/doi/book/10.1002/9780470567371},
}
@book{robert2004,
title={Monte Carlo statistical methods},
author={Robert, Christian P and Casella, George},
year={2004},
publisher={Springer},
url={https://link.springer.com/book/10.1007/978-1-4757-4145-2}
}
@book{hardt2022,
title = {Patterns, predictions, and actions: Foundations of machine learning},
author = {Moritz Hardt and Benjamin Recht},
year = {2022},
publisher = {Princeton University Press},
url = {https://mlstory.org/}
}
@book{boyd2004,
title={Convex optimization},
author={Boyd, Stephen P. and Vandenberghe, Lieven},
year={2004},
publisher={Cambridge University Press},
ISBN={978-0-521-83378-3},
url={https://web.stanford.edu/~boyd/cvxbook/},
}
@article{zhang2021,
title={Dive into Deep Learning},
author={Zhang, Aston and Lipton, Zachary C. and Li, Mu and Smola, Alexander J.},
year={2021},
journal={arXiv preprint arXiv:2106.11342},
url={https://d2l.ai/}
}
@book{nocedal2006,
title={Numerical optimization},
author={Nocedal, Jorge and Wright, Stephen J.},
year={2006},
publisher={Springer},
ISBN={978-0-387-30303-1},
url={https://link.springer.com/book/10.1007/978-0-387-40065-5}
}
@misc{gaertner2023,
title = {Optimization for Machine Learning},
author = {Bernd Gärtner and Martin Jaggi},
year = {2023},
url = {https://github.com/epfml/OptML_course/blob/master/lecture_notes/lecture-notes.pdf},
}
@book{goodfellow2016,
title={Deep Learning},
author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
year={2016},
publisher={MIT Press},
url={http://www.deeplearningbook.org}
}
@book{rasmussen2006,
title={Gaussian Processes for Machine Learning},
author={Rasmussen, Carl Edward and Williams, Christopher KI},
year={2006},
publisher={MIT Press},
url={https://gaussianprocess.org/gpml/}
}
@misc{duvenaud2014,
title={Automatic Model Construction with Gaussian Processes},
author={David Duvenaud},
year={2014},
url={https://www.cs.toronto.edu/~duvenaud/thesis.pdf},
}
@misc{baydin2018,
title={Automatic Differentiation in Machine Learning: a Survey},
author={Atilim Gunes Baydin and Barak A. Pearlmutter and Alexey Andreyevich Radul and Jeffrey Mark Siskind},
year={2018},
url={https://arxiv.org/abs/1502.05767},
}
@misc{maclaurin2016,
title={Modeling, Inference and Optimization with Composable Differentiable Procedures},
author={Dougal Maclaurin},
year={2016},
url={https://dougalmaclaurin.com/phd-thesis.pdf},
}
@book{bishop2024,
title={Deep Learning: Foundations and Concepts},
author={Christopher M. Bishop},
year={2024},
url={https://link.springer.com/book/10.1007/978-3-031-45468-4},
}