# Parallel tempering

## Papers overview

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2018

2018

- 2018

Using MCMC to sample from a target distribution, Ï€(x) on a ddimensional state space can be a difficult and computationallyâ€¦Â (More)

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2013

2013

- Statistics and Computing
- 2013

Approximate Bayesian Computational (ABC) methods, or likelihood-free methods, have appeared in the past fifteen years as usefulâ€¦Â (More)

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2013

2013

- Statistics and Computing
- 2013

The Equi-Energy Sampler (EES) introduced by Kou et al. [2006] is based on a population of chains which are updated by local movesâ€¦Â (More)

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2012

2012

- 2012

Parallel tempering is a generic Markov chain Monte Carlo sampling method which allows good mixing with multimodal targetâ€¦Â (More)

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2012

2012

- ARC
- 2012

Markov Chain Monte Carlo (MCMC) is a family of algorithms which is used to draw samples from arbitrary probability distributionsâ€¦Â (More)

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2010

2010

- ArXiv
- 2010

Restricted Boltzmann Machines (RBM) have attracted a lot of attention of late, as one the principle building blocks of deepâ€¦Â (More)

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2010

2010

- The International Joint Conference on Neuralâ€¦
- 2010

A new interest towards restricted Boltzmann machines (RBMs) has risen due to their usefulness in greedy learning of deep neuralâ€¦Â (More)

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Highly Cited

2009

Highly Cited

2009

- NIPS
- 2009

Markov random fields (MRFâ€™s), or undirected graphical model s, provide a powerful framework for modeling complex dependenciesâ€¦Â (More)

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2005

2005

- 2005

Parallel Tempering (PT) is an effective algorithm to overcome the slow convergence in low-temperature protein simulation byâ€¦Â (More)

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Highly Cited

1997

Highly Cited

1997

- 1997

The effectiveness of a new algorithm, parallel tempering, is studied for numerical simulations of biological molecules. Theseâ€¦Â (More)

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