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Scalable Variational Inference in Log-supermodular Models

Scalable Variational Inference in Log-supermodular Models

Josip Djolonga
Andreas Krause
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Papers citing "Scalable Variational Inference in Log-supermodular Models"

4 / 4 papers shown
Title
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
250
1,139
0
25 Jul 2012
Near-optimal Nonmyopic Value of Information in Graphical Models
Near-optimal Nonmyopic Value of Information in Graphical Models
Andreas Krause
Carlos Guestrin
76
467
0
04 Jul 2012
Rényi Divergence and Kullback-Leibler Divergence
Rényi Divergence and Kullback-Leibler Divergence
T. Erven
P. Harremoes
82
1,339
0
12 Jun 2012
Efficient Minimization of Decomposable Submodular Functions
Efficient Minimization of Decomposable Submodular Functions
Peter Stobbe
Andreas Krause
85
124
0
26 Oct 2010