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Variational inference is a general approach for approximating complex density functions, such as those arising in latent variable models, popular in machine learning.
The accuracy of the gaussian approximation to the sum of independent variates
A. C. Berry · 1941
Earlier work this paper cites.
On the Liapounoff limit of error in the theory of probability
C.-G. Esseen · 1942
Earlier work this paper cites.
Consistent estimates based on partially consistent observations
J. Neyman and E. L. Scott · 1948
Earlier work this paper cites.
Science and statistics
G. E. P. Box · 1976
Earlier work this paper cites.
Maximum likelihood estimates in exponential response models
S. J. Haberman · 1977
Earlier work this paper cites.
Mathematical typology: a grade of membership technique for obtaining disease definition
M. A. Woodbury, J. Clive, and A. Garson · 1978
Earlier work this paper cites.
On the asymptotic accuracy of efron’s bootstrap
K. Singh · 1981
Earlier work this paper cites.
The jackknife, the bootstrap and other resampling plans
B. Efron · 1982
Earlier work this paper cites.
Inference on means using the bootstrap
G. J. Babu and K. Singh · 1983
Earlier work this paper cites.
Asymptotic behavior of m m -estimators of p p regression parameters when p 2 / n p^{2}/n is large. i. consistency
S. Portnoy · 1984
Earlier work this paper cites.
Mixture densities, maximum likelihood and the EM algorithm
R. A. Redner and H. F. Walker · 1984
Earlier work this paper cites.
Asymptotic behavior of m m estimators of p p regression parameters when p 2 / n p^{2}/n is large; ii. normal approximation
S. Portnoy · 1985
Earlier work this paper cites.
Asymptotic behavior of likelihood methods for exponential families when the number of parameters tends to infinity
S. Portnoy · 1988
Earlier work this paper cites.
Asymptotics with increasing dimension for robust regression with applications to the bootstrap
E. Mammen · 1989
Earlier work this paper cites.
Bootstrap methods: another look at the jackknife
B. Efron · 1992
Earlier work this paper cites.
Bootstrap and wild bootstrap for high dimensional linear models
E. Mammen · 1993
Earlier work this paper cites.
Estimates of change in chronic disability and institutional incidence and prevalence rates in the us elderly population from the 1982, 1984, and 1989 national long term care survey
K. G. Manton, L. S. Corder, and E. Stallard · 1993
Earlier work this paper cites.
Joint consistency of nonparametric item characteristic curve and ability estimation
J. Douglas · 1997
Earlier work this paper cites.
Bootstrap methods in econometrics: theory and numerical performance
J. L. Horowitz · 1997
Cited alongside, same era.
Asymptotic statistics , volume 3
A. W. Van der Vaart · 1998
Cited alongside, same era.
An introduction to variational methods for graphical models
M. I. Jordan, Z. Ghahramani, T. S. Jaakkola, and L. K. Saul · 1999
Cited alongside, same era.
Inconsistency of the bootstrap when a parameter is on the boundary of the parameter space
D. W. Andrews · 2000
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Variational inference for Bayesian mixtures of factor analysers
Z. Ghahramani and M. J. Beal · 2000
Cited alongside, same era.
Inference of population structure using multilocus genotype data
J. K. Pritchard, M. Stephens, and P. Donnelly · 2000
Cited alongside, same era.
Consistency of maximum-likelihood and variational estimators in the stochastic block model
A. Celisse, J.-J. Daudin, L. Pierre, et al · 2012
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Variational Bayesian inference and complexity control for stochastic block models
P. Latouche, E. Birmele, and C. Ambroise · 2012
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User-friendly tail bounds for sums of random matrices
J. A. Tropp · 2012
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Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
P. Bickel, D. Choi, X. Chang, and H. Zhang · 2013
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Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors
V. Chernozhukov, D. Chetverikov, and K. Kato · 2013
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The bootstrap and Edgeworth expansion
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Latent dirichlet allocation
D. M. Blei, A. Y. Ng, and M. I. Jordan · 2003
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A latent mixed membership model for relational data
E. Airoldi, D. Blei, E. Xing, and S. Fienberg · 2005
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Model selection and inference: Facts and fiction
H. Leeb and B. M. Pötscher · 2005
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Variational inference for dirichlet process mixtures
D. M. Blei, M. I. Jordan, et al · 2006
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Operational definition of chronic disability in the national long term care survey: Problems and suggestions
E. A. Erosheva and T. White · 2006
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All of nonparametric statistics
L. Wasserman · 2006
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P. Hall · 2013
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Estimating undirected graphs under weak assumptions
L. Wasserman, M. Kolar, and A. Rinaldo · 2013
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Handbook of mixed membership models and their applications
E. M. Airoldi, D. Blei, E. A. Erosheva, and S. E. Fienberg · 2014
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Variational inference for uncertainty on the inputs of gaussian process models
A. C. Damianou, M. K. Titsias, and N. D. Lawrence · 2014
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Guarding from spurious discoveries in high dimension
J. Fan and W.-X. Zhou · 2015
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Group factor analysis
A. Klami, S. Virtanen, E. Leppäaho, and S. Kaski · 2015
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On estimation of parameter uncertainty in model-based clustering
A. O’Hagan, T. B. Murphy, and I. C. Gormley · 2015
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Fitting mixed membership models using mixedmem
Y. S. Wang and E. A. Erosheva · 2015
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Y. S. Wang, R. Matsueda, and E. A. Erosheva · 2015
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T. Westling and T. H. McCormick · 2015
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Variational inference: A review for statisticians
D. M. Blei, A. Kucukelbir, and J. D. McAuliffe · 2017
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Frequentist consistency of variational Bayes
Y. Wang and D. M. Blei · 2017
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