Glauber is a scientific discovery method written in the context of computational philosophy of science. It is related to machine learning inâ€¦Â (More)

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2008

2008

- Yuri Kondratiev, Eugene Lytvynov
- 2008

This paper is devoted to the construction and study of an equilibrium Glauber-type dynamics of infinite continuous particleâ€¦Â (More)

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2007

2007

We construct a Glauber dynamics on {0, 1}, R a discrete space, with infinite range flip rates, for which a fermion point processâ€¦Â (More)

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2006

2006

We study the Glauber dynamics at zero temperature of spins placed on the vertices of an uncorrelated network with a power lawâ€¦Â (More)

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2006

2006

- Dana Randall
- SODA
- 2006

Many local Markov chains based on Glauber dynamics are known to undergo a phase transition as a parameter λ of the system isâ€¦Â (More)

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2004

2004

We give the first comprehensive analysis of the effect of boundary conditions on the mixing time of the Glauber dynamics in theâ€¦Â (More)

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Highly Cited

2001

Highly Cited

2001

- Claire Mathieu, Elchanan Mossel, Yuval Peres
- FOCS
- 2001

We study continuous time Glauber dynamics for random configurations with local constraints (e.g. proper coloring, Ising and Pottsâ€¦Â (More)

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2001

2001

- Eric Vigoda
- Electr. J. Comb.
- 2001

This note considers the problem of sampling from the set of weighted independent sets of a graph with maximum degree âˆ†. For aâ€¦Â (More)

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Highly Cited

1999

Highly Cited

1999

- Michael Luby, Eric Vigoda
- Random Struct. Algorithms
- 1999

We consider the problem of sampling independent sets of a graph with maximum degree. The weight of each independent set isâ€¦Â (More)

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Highly Cited

1998

Highly Cited

1998

- Dana Randall, Prasad Tetali
- LATIN
- 1998

A popular technique for studying random properties of a combinatorial set is to design a Markov chain Monte Carlo algorithm. Forâ€¦Â (More)

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Highly Cited

1994

Highly Cited

1994

- F Martinelliz, E Olivieriy
- 1994

We develop a new method, based on renormalization group ideas (block dec-imation procedure), to prove, under an assumption ofâ€¦Â (More)

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