VI.bib

%% This BibTeX bibliography file was created using BibDesk.
%% http://bibdesk.sourceforge.net/

%% Created for Schulz, Philip at 2017-07-21 10:44:03 +0200 


%% Saved with string encoding Unicode (UTF-8) 



@article{BleiEtAl:2003,
	Author = {David Blei and Ng, Andrew and Jordan, Michael},
	Doi = {10.1162/jmlr.2003.3.4-5.993},
	Journal = {Journal of Machine Learning Research},
	Number = {4-5},
	Pages = {993--1022},
	Title = {Latent Dirichlet Allocation},
	Url = {http://dx.doi.org/10.1162/jmlr.2003.3.4-5.993},
	Volume = {3},
	Year = {2003},
	Bdsk-Url-1 = {http://dx.doi.org/10.1162/jmlr.2003.3.4-5.993}}

@inproceedings{GhahramaniJordan:1996,
	Author = {Ghahramani, Zoubin and Jordan, Michael I},
	Booktitle = {NIPS},
	Pages = {472--478},
	Title = {Factorial hidden Markov models},
	Url = {http://papers.nips.cc/paper/1144-factorial-hidden-markov-models.pdf},
	Year = {1996},
	Bdsk-Url-1 = {http://papers.nips.cc/paper/1144-factorial-hidden-markov-models.pdf}}

@incollection{NealHinton:1998,
	Author = {Neal, Radford M and Hinton, Geoffrey E},
	Booktitle = {Learning in graphical models},
	Date-Added = {2017-06-21 11:38:35 +0000},
	Date-Modified = {2017-06-21 11:45:04 +0000},
	Pages = {355--368},
	Publisher = {Springer},
	Title = {A view of the EM algorithm that justifies incremental, sparse, and other variants},
	Url = {http://www.cs.toronto.edu/~fritz/absps/emk.pdf},
	Year = {1998},
	Bdsk-Url-1 = {http://www.cs.toronto.edu/~fritz/absps/emk.pdf}}

@article{BleiEtAl:2016,
	Author = {David M. Blei and Alp Kucukelbir and Jon D. McAuliffe},
	Date-Added = {2017-06-21 11:27:07 +0000},
	Date-Modified = {2017-06-21 11:27:43 +0000},
	Eprint = {1601.00670},
	Month = {01},
	Title = {Variational Inference: A Review for Statisticians},
	Url = {https://arxiv.org/abs/1601.00670},
	Year = {2016},
	Bdsk-Url-1 = {https://arxiv.org/abs/1601.00670}}

@article{KingmaEtAl:2016,
  author    = {Diederik P. Kingma and
               Tim Salimans and
               Max Welling},
  title     = {Improving Variational Inference with Inverse Autoregressive Flow},
  year      = {2016},
  url       = {http://arxiv.org/abs/1606.04934},
  archivePrefix = {arXiv}
}

@InProceedings{GermainEtAl:2015,
  title = 	 {MADE: Masked Autoencoder for Distribution Estimation},
  author = 	 {Mathieu Germain and Karol Gregor and Iain Murray and Hugo Larochelle},
  booktitle = 	 {Proceedings of the 32nd International Conference on Machine Learning},
  pages = 	 {881--889},
  year = 	 {2015},
  editor = 	 {Francis Bach and David Blei},
  pdf = 	 {http://proceedings.mlr.press/v37/germain15.pdf}
}

@article{HuangEtAl:2018,
  author    = {Chin{-}Wei Huang and
               David Krueger and
               Alexandre Lacoste and
               Aaron C. Courville},
  title     = {Neural Autoregressive Flows},
  journal   = {CoRR},
  year      = {2018},
  url       = {http://arxiv.org/abs/1804.00779},
  archivePrefix = {arXiv}
}

@incollection{PapamakariosEtAl:2017,
title = {Masked Autoregressive Flow for Density Estimation},
author = {Papamakarios, George and Murray, Iain and Pavlakou, Theo},
booktitle = {NIPS 30},
pages = {2338--2347},
year = {2017},
url = {http://papers.nips.cc/paper/6828-masked-autoregressive-flow-for-density-estimation.pdf}
}

@article{HoffmanEtAl:2013,
	Author = {Hoffman, Matthew D. and Blei, David M. and Wang, Chong and Paisley, John},
	Journal = {Journal of Machine Learning Research},
	Number = {1},
	Pages = {1303--1347},
	Title = {Stochastic Variational Inference},
	Url = {http://jmlr.org/papers/volume14/hoffman13a/hoffman13a.pdf},
	Volume = {14},
	Year = {2013},
	Bdsk-Url-1 = {http://dl.acm.org/citation.cfm?id=2502581.2502622}}

@inproceedings{AsuncionEtAl:2009,
	Author = {Asuncion, Arthur and Welling, Max and Smyth, Padhraic and Teh, Yee Whye},
	Location = {Montreal, Quebec, Canada},
	Pages = {27--34},
	Series = {UAI},
	Title = {On Smoothing and Inference for Topic Models},
	Url = {https://arxiv.org/pdf/1205.2662.pdf},
	Year = {2009},
	Bdsk-Url-1 = {https://arxiv.org/pdf/1205.2662.pdf}}

@phdthesis{Beal:2003,
	Author = {Beal, Matthew J.},
	School = {Gatsby Computational Neuroscience Unit, University College London},
	Title = {Variational Algorithms for Approximate Bayesian Inference},
	Url = {http://www.cse.buffalo.edu/faculty/mbeal/thesis/index.html},
	Year = {2003},
	Bdsk-Url-1 = {http://www.cse.buffalo.edu/faculty/mbeal/thesis/index.html}}

@inproceedings{BergkirkpatrickEtAl:2010,
	Author = {Berg-Kirkpatrick, Taylor and Bouchard-C\^{o}t{\'e}, Alexandre and DeNero, John and Klein, Dan},
	Booktitle = {NAACL},
	Location = {Los Angeles, California},
	Pages = {582--590},
	Title = {Painless Unsupervised Learning with Features},
	Url = {http://www.aclweb.org/anthology/N10-1083},
	Year = {2010},
	Bdsk-Url-1 = {http://www.aclweb.org/anthology/N10-1083}}

@inproceedings{BlundellEtAl:2015,
	Author = {Blundell, Charles and Cornebise, Julien and Kavukcuoglu, Koray and Wierstra, Daan},
	Location = {Lille, France},
	Pages = {1613--1622},
	Series = {ICML},
	Title = {Weight Uncertainty in Neural Networks},
	Url = {http://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_blundell15.pdf},
	Year = {2015},
	Bdsk-Url-1 = {http://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_blundell15.pdf}}

@phdthesis{Gal:2016,
	Author = {Gal, Yarin},
	School = {University of Cambridge},
	Title = {Uncertainty in Deep Learning},
	Url = {http://mlg.eng.cam.ac.uk/yarin/thesis/thesis.pdf},
	Year = {2016},
	Bdsk-Url-1 = {http://mlg.eng.cam.ac.uk/yarin/thesis/thesis.pdf}
	}

@inproceedings{Graves:2011,
	Author = {Graves, Alex},
	Booktitle = {NIPS},
	Pages = {2348-2356},
	Title = {Practical Variational Inference for Neural Networks.},
	Url = {http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks},
	Year = {2011},
	Bdsk-Url-1 = {http://papers.nips.cc/paper/4329-practical-variational-inference-for-neural-networks}}

@InProceedings{GregorEtAl:2014,
  title = 	 {Deep AutoRegressive Networks},
  author = 	 {Karol Gregor and Ivo Danihelka and Andriy Mnih and Charles Blundell and Daan Wierstra},
  booktitle = 	 {ICML},
  pages = 	 {1242--1250},
  year = 	 {2014},
  editor = 	 {Eric P. Xing and Tony Jebara},
  url = 	 {http://proceedings.mlr.press/v32/gregor14.html}
}


@article{HintonEtAl:1995,
	Author = {Hinton, G. E. and Dayan, P. and Frey, B. J. and Neal, R. M.},
	Journal = {Science},
	Pages = {1158--1161},
	Title = {The Wake-Sleep Algorithm for Unsupervised Neural Networks.},
	Url = {http://www.gatsby.ucl.ac.uk/~dayan/papers/hdfn95.pdf},
	Volume = {268},
	Year = {1995},
	Bdsk-Url-1 = {http://www.gatsby.ucl.ac.uk/~dayan/papers/hdfn95.pdf}}

@inproceedings{HintonVancamp:1993,
	Author = {Hinton, Geoffrey E. and van Camp, Drew},
	Booktitle = {Proceedings of the Sixth Annual Conference on Computational Learning Theory},
	Isbn = {0-89791-611-5},
	Location = {Santa Cruz, California, USA},
	Numpages = {9},
	Pages = {5--13},
	Publisher = {ACM},
	Series = {COLT '93},
	Title = {Keeping the Neural Networks Simple by Minimizing the Description Length of the Weights},
	Url = {http://doi.acm.org/10.1145/168304.168306},
	Year = {1993},
	Bdsk-Url-1 = {http://doi.acm.org/10.1145/168304.168306}}

@article{IshwaranJames:2001,
	Author = {Hemant Ishwaran and Lancelot F James},
	Doi = {10.1198/016214501750332758},
	Journal = {Journal of the American Statistical Association},
	Number = {453},
	Pages = {161-173},
	Title = {Gibbs Sampling Methods for Stick-Breaking Priors},
	Url = {http://dx.doi.org/10.1198/016214501750332758},
	Volume = {96},
	Year = {2001},
	Bdsk-Url-1 = {http://dx.doi.org/10.1198/016214501750332758}}

@article{KingmaWelling:2013,
	Author = {Kingma, Diederik P. and Welling, Max},
	Title = {{Auto-Encoding Variational Bayes}},
	Url = {http://arxiv.org/abs/1312.6114},
	Year = {2013},
	Bdsk-Url-1 = {http://arxiv.org/abs/1312.6114}}

@article{KucukelbirEtAl:2017,
	Author = {Alp Kucukelbir and Dustin Tran and Rajesh Ranganath and Andrew Gelman and David M. Blei},
	Journal = {Journal of Machine Learning Research},
	Number = {14},
	Pages = {1-45},
	Title = {Automatic Differentiation Variational Inference},
	Url = {http://jmlr.org/papers/v18/16-107.html},
	Volume = {18},
	Year = {2017},
	Bdsk-Url-1 = {http://jmlr.org/papers/v18/16-107.html}}

@inproceedings{NaessethEtAl:2017,
	Author = {Christian Naesseth and Francisco Ruiz and Scott Linderman and David Blei},
	Pages = {489--498},
	Series = {AISTATS},
	Title = {Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms},
	Url = {http://proceedings.mlr.press/v54/naesseth17a/naesseth17a.pdf},
	Year = {2017},
	Bdsk-Url-1 = {http://proceedings.mlr.press/v54/naesseth17a/naesseth17a.pdf}}

@inproceedings{PaisleyEtAl:2012,
	Author = {David M. Blei and Michael I. Jordan and John W. Paisley},
	Booktitle = {ICML},
	Title = {Variational Bayesian Inference with Stochastic Search},
	Url = {http://icml.cc/2012/papers/687.pdf},
	Year = {2012},
	Bdsk-Url-1 = {http://icml.cc/2012/papers/687.pdf}}

@inproceedings{RanganathEtAl:2014,
	Author = {Rajesh Ranganath and Sean Gerrish and David Blei},
	Booktitle = {AISTATS},
	Editor = {Samuel Kaski and Jukka Corander},
	Pages = {814--822},
	Title = {{Black Box Variational Inference}},
	Url = {http://proceedings.mlr.press/v33/ranganath14.pdf},
	Year = {2014},
	Bdsk-Url-1 = {http://proceedings.mlr.press/v33/ranganath14.pdf}}

@inproceedings{RezendeEtAl:2014,
	Author = {Danilo J. Rezende and Shakir Mohamed and Daan Wierstra},
	Booktitle = {ICML},
	Pages = {1278-1286},
	Title = {Stochastic Backpropagation and Approximate Inference in Deep Generative Models},
	Url = {http://jmlr.org/proceedings/papers/v32/rezende14.pdf},
	Year = {2014},
	Bdsk-Url-1 = {http://jmlr.org/proceedings/papers/v32/rezende14.pdf}}

@InProceedings{RezendeMohamed:2015,
  title = 	 {Variational Inference with Normalizing Flows},
  author = 	 {Danilo Rezende and Shakir Mohamed},
  booktitle = 	 {ICML},
  pages = 	 {1530--1538},
  year = 	 {2015},
  url = 	 {http://proceedings.mlr.press/v37/rezende15.pdf}
}

@article{RobbinsEtAl:1951,
	Author = {Herbert Robbins and Sutton Monro},
	Journal = {The Annals of Mathematical Statistics},
	Month = {September},
	Number = {3},
	Pages = {400--407},
	Title = {A Stochastic Approximation Method},
	Url = {http://projecteuclid.org/download/pdf_1/euclid.aoms/1177729586},
	Volume = {22},
	Year = {1951},
	Bdsk-Url-1 = {http://projecteuclid.org/download/pdf_1/euclid.aoms/1177729586}}

@incollection{RuizEtAl:2016,
	Author = {Ruiz, Francisco R and Titsias RC AUEB, Michalis and Blei, David},
	Booktitle = {NIPS},
	Editor = {D. D. Lee and M. Sugiyama and U. V. Luxburg and I. Guyon and R. Garnett},
	Pages = {460--468},
	Title = {The Generalized Reparameterization Gradient},
	Url = {http://papers.nips.cc/paper/6328-the-generalized-reparameterization-gradient.pdf},
	Year = {2016},
	Bdsk-Url-1 = {http://papers.nips.cc/paper/6328-the-generalized-reparameterization-gradient.pdf}}

@inproceedings{TehEtAl:2007,
	Author = {Y. W. Teh and D. Newman and M. Welling},
	Booktitle = {NIPS},
	Title = {A Collapsed Variational {B}ayesian Inference Algorithm for Latent {D}irichlet Allocation},
	Url = {https://www.stats.ox.ac.uk/~teh/research/inference/nips2006.pdf},
	Volume = {19},
	Year = {2007},
	Bdsk-Url-1 = {https://www.stats.ox.ac.uk/~teh/research/inference/nips2006.pdf}}

@inproceedings{TitsiasLazarogredilla:2014,
	Author = {Michalis Titsias and Miguel L{\'a}zaro-Gredilla},
	Booktitle = {ICML},
	Editor = {Tony Jebara and Eric P. Xing},
	Pages = {1971-1979},
	Title = {Doubly Stochastic Variational Bayes for non-Conjugate Inference},
	Url = {http://jmlr.org/proceedings/papers/v32/titsias14.pdf},
	Year = {2014},
	Bdsk-Url-1 = {http://jmlr.org/proceedings/papers/v32/titsias14.pdf}}

@inproceedings{WangEtAl:2011,
	Author = {Wang, Chong and Paisley, John and Blei, David M.},
	Booktitle = {AISTATS},
	Pages = {752--760},
	Title = {{Online variational inference for the hierarchical dirichlet process}},
	Url = {http://jmlr.csail.mit.edu/proceedings/papers/v15/wang11a/wang11a.pdf},
	Volume = {15},
	Year = {2011},
	Bdsk-Url-1 = {http://jmlr.csail.mit.edu/proceedings/papers/v15/wang11a/wang11a.pdf}}

@article{Williams:1992,
 author = {Williams, Ronald J.},
 title = {Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning},
 journal = {Machine Learning},
 volume = {8},
 number = {3-4},
 year = {1992},
 pages = {229--256},
 url = {https://doi.org/10.1007/BF00992696}
 } 
 
 @InProceedings{ZhouNeubig:2017,
  author = {Zhou, Chunting
		and Neubig, Graham},
  title = {Multi-space Variational Encoder-Decoders for Semi-supervised Labeled      Sequence Transduction},
  booktitle = {ACL },
  year = {2017},
  pages = {310--320},
  location = {Vancouver, Canada},
  doi = {10.18653/v1/P17-1029},
  url = {http://www.aclweb.org/anthology/P17-1029}
}