# Variational method (quantum mechanics)

## Papers overview

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Highly Cited

2014

Highly Cited

2014

- AISTATS
- 2014

Variational inference has become a widely used method to approximate posteriors in complex latent variables models. Howeverâ€¦Â (More)

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2009

Highly Cited

2009

- AISTATS
- 2009

Sparse Gaussian process methods that use inducing variables require the selection of the inducing inputs and the kernelâ€¦Â (More)

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Highly Cited

2007

Highly Cited

2007

- 2007

A long-term global atmospheric reanalysis, named â€˜â€˜Japanese 25-year Reanalysis (JRA-25)â€™â€™ was completed using the Japanâ€¦Â (More)

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Highly Cited

2005

Highly Cited

2005

- Journal of Machine Learning Research
- 2005

Bayesian inference is now widely established as one of the pr inci al foundations for machine learning. In practice, exactâ€¦Â (More)

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Highly Cited

2004

Highly Cited

2004

- IEEE Transactions on Signal Processing
- 2004

Sparse Bayesian learning (SBL) and specifically relevance vector machines have received much attention in the machine learningâ€¦Â (More)

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Highly Cited

2003

Highly Cited

2003

- UAI
- 2003

We present a class of generalized mean field (GMF) algorithms for approximate inference in exponential family graphical modelsâ€¦Â (More)

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Highly Cited

2000

Highly Cited

2000

- 2000

Using a variational method, we exhibit a surprisingly simple periodic orbit for the newtonian problem of three equal masses inâ€¦Â (More)

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Highly Cited

1997

Highly Cited

1997

- 1997

This paper is concerned with a classical denoising and deblurring problem in image recovery. Our approach is based on aâ€¦Â (More)

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Highly Cited

1994

Highly Cited

1994

- International Journal of Computer Vision
- 1994

The variational method has been introduced by Kass et al. (1987) in the field of object contour modeling, as an alternative toâ€¦Â (More)

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Highly Cited

1992

Highly Cited

1992

- 1992

A novel discrete variable representation (DVR) is introduced for use as the L 2 basis of the Smatrix version of the Kohnâ€¦Â (More)

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