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Variational inference is a popular technique to approximate a possibly intractable Bayesian posterior with a more tractable one.
On estimation of a probability density function and mode
Emanuel Parzen · 1962
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Some comments on Wolfe’s away step
Jacques Guélat and Patrice Marcotte · 1986
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Note: On the interchange of derivative and expectation for likelihood ratio derivative estimators
Pierre L’Ecuyer · 1995
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Rao-blackwellisation of sampling schemes
George Casella and Christian P Robert · 1996
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Phd thesis, yale university, 1998
Q. Li · 1998
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Mixture density estimation
Jonathan Q Li and Andrew R Barron · 1999
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Statistical exponential families: A digest with flash cards
Frank Nielsen and Vincent Garcia · 2009
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Revisiting frank-wolfe: Projection-free sparse convex optimization
Martin Jaggi · 2013
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Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization
Martin Jaggi · 2013
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Foundations of data science
John Hopcroft and Ravi Kannan · 2014
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Efficient image and video co-localization with frank-wolfe algorithm
A. Joulin, K. Tang, and L. Fei-Fei · 2014
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On prior distributions and approximate inference for structured variables
Oluwasanmi O Koyejo, Rajiv Khanna, Joydeep Ghosh, and Russell Poldrack · 2014
Cited alongside, same era.
Black box variational inference
Rajesh Ranganath, Sean Gerrish, and David M Blei · 2014
Cited alongside, same era.
Mohammad Emtiyaz Khan, Reza Babanezhad, Wu Lin, Mark Schmidt, and Masashi Sugiyama · 2015
Cited alongside, same era.
Sparse submodular probabilistic pca
Rajiv Khanna, Joydeep Ghosh, Russell A Poldrack, and Oluwasanmi Koyejo · 2015
Functional frank-wolfe boosting for general loss functions
Chu Wang, Yingfei Wang, Robert Schapire, et al · 2015
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Variational inference: A review for statisticians
David M Blei, Alp Kucukelbir, and Jon D McAuliffe · 2016
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Boosting variational inference
Fangjian Guo, Xiangyu Wang, Kai Fan, Tamara Broderick, and David B Dunson · 2016
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Structured sparse regression via greedy hard thresholding
P. Jain, N. Rao, and I. Dhillon · 2016
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Variational tempering
Stephan Mandt, James McInerney, Farhan Abrol, Rajesh Ranganath, and David Blei · 2016
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Cited alongside, same era.
Barrier frank-wolfe for marginal inference
Rahul G. Krishnan, Simon Lacoste-Julien, and David Sontag · 2015
Cited alongside, same era.
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien and Martin Jaggi · 2015
Cited alongside, same era.
Andrew C Miller, Nicholas Foti, and Ryan P Adams · 2016
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Boosting Variational Inference: Theory and Examples
Xiangyu Wang · 2016
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A unified optimization view on generalized matching pursuit and frank-wolfe
Francesco Locatello, Rajiv Khanna, Michael Tschannen, and Martin Jaggi · 2017
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