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Variational principle

A variational principle is a scientific principle used within the calculus of variations, which develops general methods for finding functions which… Expand
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Papers overview

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Review
2018
Review
2018
In the era of the Internet of Things (IoT), an enormous amount of sensing devices collect and/or generate various sensory data… Expand
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Review
2017
Review
2017
The learning of domain-invariant representations in the context of domain adaptation with neural networks is considered. We… Expand
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Review
2017
Review
2017
Generative adversarial networks (GANs) have given us a great tool to fit implicit generative models to data. Implicit… Expand
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Review
2016
Review
2016
In just three years, Variational Autoencoders (VAEs) have emerged as one of the most popular approaches to unsupervised learning… Expand
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Review
2016
Review
2016
ABSTRACTOne of the core problems of modern statistics is to approximate difficult-to-compute probability densities. This problem… Expand
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Review
2016
Review
2016
Modern signal processing (SP) methods rely very heavily on probability and statistics to solve challenging SP problems. SP… Expand
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Highly Cited
2014
Highly Cited
2014
Abstract: How can we perform efficient inference and learning in directed probabilistic models, in the presence of continuous… Expand
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Highly Cited
2008
Highly Cited
2008
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random… Expand
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Highly Cited
2003
Highly Cited
2003
Newton Methods for Nonsmooth Equations.- Global Methods for Nonsmooth Equations.- Equation-Based Algorithms for Complementarity… Expand
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Highly Cited
1974
Highly Cited
1974
The variational principle states that if a differentiable functional F attains its minimum at some point zi, then F’(C) = 0; it… Expand
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