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references.bib
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@book{blitzstein2019introduction,
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@article{mckee2023neuropathologic,
title={Neuropathologic and clinical findings in young contact sport athletes exposed to repetitive head impacts},
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}
@article{albert1993bayesian,
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@article{polson2013bayesian,
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@article{friedman2010regularization,
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@article{wainwright2008graphical,
title={Graphical models, exponential families, and variational inference},
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@book{efron2022exponential,
title={Exponential families in theory and practice},
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@book{gelman1995bayesian,
title={Bayesian Data Analysis},
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@article{windle2014sampling,
title={Sampling P{\'o}lya-gamma random variates: alternate and approximate techniques},
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journal={arXiv preprint arXiv:1405.0506},
year={2014}
}
@article{blei2014build,
title={Build, compute, critique, repeat: {D}ata analysis with latent variable models},
author={Blei, David M},
journal={Annual Review of Statistics and Its Application},
volume={1},
pages={203--232},
year={2014},
publisher={Annual Reviews}
}
@book{bishop2006pattern,
title={Pattern Recognition and Machine Learning},
author={Bishop, Christopher},
year={2006},
publisher={Springer},
}
@article{kingma2019introduction,
title={An introduction to variational autoencoders},
author={Kingma, Diederik P and Welling, Max},
journal={Foundations and Trends{\textregistered} in Machine Learning},
volume={12},
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pages={307--392},
year={2019},
publisher={Now Publishers, Inc.}
}
@book{goodfellow2016deep,
title={Deep Learning},
author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
publisher={MIT Press},
note={\url{http://www.deeplearningbook.org}},
year={2016}
}
@article{turner2023introduction,
title={An Introduction to Transformers},
author={Turner, Richard E},
journal={arXiv preprint arXiv:2304.10557},
year={2023}
}
@inproceedings{smith2023simplified,
title={Simplified State Space Layers for Sequence Modeling},
author={Jimmy T.H. Smith and Andrew Warrington and Scott Linderman},
booktitle={The Eleventh International Conference on Learning Representations },
year={2023},
}
@article{gu2023mamba,
title={Mamba: Linear-time sequence modeling with selective state spaces},
author={Gu, Albert and Dao, Tri},
journal={arXiv preprint arXiv:2312.00752},
year={2023}
}
@article{turner2024denoising,
title={Denoising Diffusion Probabilistic Models in Six Simple Steps},
author={Turner, Richard E and Diaconu, Cristiana-Diana and Markou, Stratis and Shysheya, Aliaksandra and Foong, Andrew YK and Mlodozeniec, Bruno},
journal={arXiv preprint arXiv:2402.04384},
year={2024}
}
@article{hoff2002latent,
title={Latent space approaches to social network analysis},
author={Hoff, Peter D and Raftery, Adrian E and Handcock, Mark S},
journal={Journal of the American Statistical Association},
volume={97},
number={460},
pages={1090--1098},
year={2002},
publisher={Taylor \& Francis}
}
@article{hoff2007modeling,
title={Modeling homophily and stochastic equivalence in symmetric relational data},
author={Hoff, Peter},
journal={Advances in neural information processing systems},
volume={20},
year={2007}
}
@article{aldous1981representations,
title={Representations for partially exchangeable arrays of random variables},
author={Aldous, David J},
journal={Journal of Multivariate Analysis},
volume={11},
number={4},
pages={581--598},
year={1981},
publisher={Elsevier}
}
@techreport{hoover1979relations,
title={Relations on Probability Spaces and Arrays of Random Variables.},
author={Hoover, Douglas},
institution={Institute for Advanced Study, Princeton, NJ},
year={1979}
}
@article{orbanz2013bayesian,
title={Bayesian Models of Graphs, Arrays, and Other Exchangeable Random Structures},
author={Orbanz, P and Roy, DM},
journal={arXiv},
volume={37},
number={02},
pages={1--25},
year={2013}
}
@article{bloem2018random,
title={Random-walk models of network formation and sequential {M}onte {C}arlo methods for graphs},
author={Bloem-Reddy, Benjamin and Orbanz, Peter},
journal={Journal of the Royal Statistical Society Series B: Statistical Methodology},
volume={80},
number={5},
pages={871--898},
year={2018},
publisher={Oxford University Press}
}
@inproceedings{tieleman2008training,
title={Training restricted {B}oltzmann machines using approximations to the likelihood gradient},
author={Tieleman, Tijmen},
booktitle={Proceedings of the 25th international conference on Machine learning},
pages={1064--1071},
year={2008}
}
@article{song2020score,
title={Score-based generative modeling through stochastic differential equations},
author={Song, Yang and Sohl-Dickstein, Jascha and Kingma, Diederik P and Kumar, Abhishek and Ermon, Stefano and Poole, Ben},
journal={arXiv preprint arXiv:2011.13456},
year={2020}
}
@article{song2019generative,
title={Generative modeling by estimating gradients of the data distribution},
author={Song, Yang and Ermon, Stefano},
journal={Advances in neural information processing systems},
volume={32},
year={2019}
}
@article{ho2020denoising,
title={Denoising diffusion probabilistic models},
author={Ho, Jonathan and Jain, Ajay and Abbeel, Pieter},
journal={Advances in neural information processing systems},
volume={33},
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year={2020}
}
@inproceedings{sohl2015deep,
title={Deep unsupervised learning using nonequilibrium thermodynamics},
author={Sohl-Dickstein, Jascha and Weiss, Eric and Maheswaranathan, Niru and Ganguli, Surya},
booktitle={International conference on machine learning},
pages={2256--2265},
year={2015},
organization={PMLR}
}
@article{campbell2022continuous,
title={A continuous time framework for discrete denoising models},
author={Campbell, Andrew and Benton, Joe and De Bortoli, Valentin and Rainforth, Thomas and Deligiannidis, George and Doucet, Arnaud},
journal={Advances in Neural Information Processing Systems},
volume={35},
pages={28266--28279},
year={2022}
}