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Variational Bayes (VB) is a scalable alternative to Markov chain Monte Carlo (MCMC) for Bayesian posterior inference.
Jaiswal, P., Rao, V. A., & Honnappa, H. (2019) · 1902
Earlier work this paper cites.
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Bickel, P., Choi, D., Chang, X., Zhang, H., et al. (2013) · 1943
Earlier work this paper cites.
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Bickel, P., Choi, D., Chang, X., Zhang, H., et al. (2013) · 1943
Earlier work this paper cites.
Generalized linear models
McCullagh, P. (1984) · 1984
Earlier work this paper cites.
Generalized linear models
McCullagh, P. (1984) · 1984
Earlier work this paper cites.
Wald lecture: On the bernstein-von mises theorem with infinite-dimensional parameters
Freedman, D. et al. (1999) · 1999
Earlier work this paper cites.
Asymptotic statistics
Van der Vaart, A. W. (2000) · 2000
Earlier work this paper cites.
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Van der Vaart, A. W. (2000) · 2000
Earlier work this paper cites.
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Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003) · 2003
Earlier work this paper cites.
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Wang, B. & Titterington, D. (2004) · 2004
Earlier work this paper cites.
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Wang, B. & Titterington, D. (2005) · 2005
Earlier work this paper cites.
Variational inference for dirichlet process mixtures
Blei, D. M., Jordan, M. I., et al. (2006) · 2006
Earlier work this paper cites.
Misspecification in infinite-dimensional bayesian statistics
Kleijn, B. J., van der Vaart, A. W., et al. (2006) · 2006
Earlier work this paper cites.
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Wang, B., Titterington, D., et al. (2006) · 2006
Earlier work this paper cites.
A handbook of Γ \Gamma -convergence
Braides, A. (2006) · 2006
Earlier work this paper cites.
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Piera, F. J. & Parada, P. (2009) · 2009
Earlier work this paper cites.
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Braun, M. & McAuliffe, J. (2010) · 2010
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Blei, D. M., Kucukelbir, A., & McAuliffe, J. D. (2017) · 2017
Later among the works it cites.
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Kucukelbir, A., Tran, D., Ranganath, R., Gelman, A., & Blei, D. M. (2017) · 2017
Later among the works it cites.
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Later among the works it cites.
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