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// TODO cite http://users.ece.utexas.edu/~sanghavi/courses/scribed_notes/Lecture_6_Scribe_Notes.pdf
@unpublished{ee381vlec6,
title={EE381V: Large Scale Learning, Lecure 6},
author={Constantine Caramanis, Sujay Sanghavi}
}
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}
@incollection{song2008parallel,
title={Parallel spectral clustering},
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booktitle={Machine Learning and Knowledge Discovery in Databases},
pages={374--389},
year={2008},
publisher={Springer}
}
@article{lee2014multiway,
title={Multiway spectral partitioning and higher-order cheeger inequalities},
author={Lee, James R and Gharan, Shayan Oveis and Trevisan, Luca},
journal={Journal of the ACM (JACM)},
volume={61},
number={6},
pages={37},
year={2014},
publisher={ACM}
}
@inproceedings{zelnik2004self,
title={Self-tuning spectral clustering},
author={Zelnik-Manor, Lihi and Perona, Pietro},
booktitle={Advances in neural information processing systems},
pages={1601--1608},
year={2004}
}
@inproceedings{choromanska2013fast,
title={Fast spectral clustering via the nystr{\"o}m method},
author={Choromanska, Anna and Jebara, Tony and Kim, Hyungtae and Mohan, Mahesh and Monteleoni, Claire},
booktitle={Algorithmic Learning Theory},
pages={367--381},
year={2013},
organization={Springer}
}
@article{spielman2011graph,
title={Graph sparsification by effective resistances},
author={Spielman, Daniel A and Srivastava, Nikhil},
journal={SIAM Journal on Computing},
volume={40},
number={6},
pages={1913--1926},
year={2011},
publisher={SIAM}
}
@article{von2007tutorial,
title={A tutorial on spectral clustering},
author={Von Luxburg, Ulrike},
journal={Statistics and computing},
volume={17},
number={4},
pages={395--416},
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publisher={Springer}
}
@article{gittens2013approximate,
title={Approximate Spectral Clustering via Randomized Sketching},
author={Gittens, Alex and Kambadur, Prabhanjan and Boutsidis, Christos},
journal={arXiv preprint arXiv:1311.2854},
year={2013}
}
@article{ng2002spectral,
title={On spectral clustering: Analysis and an algorithm},
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}
@article{salakhutdinov2009semantic,
title={Semantic hashing},
author={Salakhutdinov, Ruslan and Hinton, Geoffrey},
journal={International Journal of Approximate Reasoning},
volume={50},
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year={2009},
publisher={Elsevier}
}
@inproceedings{weiss2009spectral,
title={Spectral hashing},
author={Weiss, Yair and Torralba, Antonio and Fergus, Rob},
booktitle={Advances in neural information processing systems},
pages={1753--1760},
year={2009}
}
@inproceedings{zhang2014spectral,
title={Spectral methods meet EM: A provably optimal algorithm for crowdsourcing},
author={Zhang, Yuchen and Chen, Xi and Zhou, Dengyong and Jordan, Michael I},
booktitle={Advances in Neural Information Processing Systems},
pages={1260--1268},
year={2014}
}
@book{murphy2012machine,
title={Machine learning: a probabilistic perspective},
author={Murphy, Kevin P},
year={2012},
publisher={MIT press}
}
@article{anandkumar2014tensor,
title={Tensor decompositions for learning latent variable models},
author={Anandkumar, Animashree and Ge, Rong and Hsu, Daniel and Kakade, Sham M and Telgarsky, Matus},
journal={The Journal of Machine Learning Research},
volume={15},
number={1},
pages={2773--2832},
year={2014},
publisher={JMLR. org}
}
@article{anandkumar2012method,
title={A method of moments for mixture models and hidden Markov models},
author={Anandkumar, Animashree and Hsu, Daniel and Kakade, Sham M},
journal={arXiv preprint arXiv:1203.0683},
year={2012}
}
@inproceedings{joachims2003transductive,
title={Transductive learning via spectral graph partitioning},
author={Joachims, Thorsten and others},
booktitle={ICML},
volume={3},
pages={290--297},
year={2003}
}
@article{saul2006spectral,
title={Spectral methods for dimensionality reduction},
author={Saul, Lawrence K and Weinberger, Kilian Q and Ham, Jihun H and Sha, Fei and Lee, Daniel D},
journal={Semisupervised learning},
pages={293--308},
year={2006},
publisher={Cambridge, MA: MIT Press}
}
@article{hsu2012spectral,
title={A spectral algorithm for learning hidden Markov models},
author={Hsu, Daniel and Kakade, Sham M and Zhang, Tong},
journal={Journal of Computer and System Sciences},
volume={78},
number={5},
pages={1460--1480},
year={2012},
publisher={Elsevier}
}
@article{dawid1979maximum,
title={Maximum likelihood estimation of observer error-rates using the EM algorithm},
author={Dawid, Alexander Philip and Skene, Allan M},
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pages={20--28},
year={1979},
publisher={JSTOR}
}
@article{davies1979cluster,
title={A cluster separation measure},
author={Davies, David L and Bouldin, Donald W},
journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on},
number={2},
pages={224--227},
year={1979},
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}