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Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning,and Optimization

Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning,and Optimization

Sharu Theresa Jose
Osvaldo Simeone
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Papers citing "Free Energy Minimization: A Unified Framework for Modelling, Inference, Learning,and Optimization"

4 / 4 papers shown
Title
Still no free lunches: the price to pay for tighter PAC-Bayes bounds
Still no free lunches: the price to pay for tighter PAC-Bayes bounds
Benjamin Guedj
L. Pujol
FedML
45
23
0
10 Oct 2019
Generalized Variational Inference: Three arguments for deriving new Posteriors
Generalized Variational Inference: Three arguments for deriving new Posteriors
Jeremias Knoblauch
Jack Jewson
Theodoros Damoulas
DRL
BDL
56
105
0
03 Apr 2019
Deep Variational Information Bottleneck
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
69
1,697
0
01 Dec 2016
Patterns of Scalable Bayesian Inference
Patterns of Scalable Bayesian Inference
E. Angelino
Matthew J. Johnson
Ryan P. Adams
78
87
0
16 Feb 2016

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