Coupling Method; Markov Chains for Colorings and Independent Sets
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Reconstruction for Colorings on Trees
N. Bhatnagar, J. Vera, E. Vigoda, and D. Weitz
Preprint.
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Randomly coloring planar graphs with fewer colors than the maximum degree.
T. Hayes, J. Vera and E. Vigoda.
STOC 2007.
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A Survey on the use of Markov Chains to Randomly Sample Colorings
A. Frieze and E. Vigoda
In Combinatorics, Complexity and Chance, Oxford University Press, 2007.
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Randomly Coloring Sparse Random Graphs with Fewer Colors than the Maximum Degree.
M. Dyer, A. Flaxman, A. Frieze, and E. Vigoda
Random Structures and Algorithms, 29(4):450-465, 2006.
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Coupling with the Stationary Distribution and
Improved Sampling for Colorings and Independent Sets.
T. Hayes, and E. Vigoda
Annals of Applied Probability, 16(4):1297-1318, 2006.
Preliminary version appears in SODA 2005.
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Randomly coloring constant degree graphs.
M. Dyer, A. Frieze, T. Hayes, and E. Vigoda
FOCS 2004.
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Variable Length Path Coupling.
T. Hayes and E. Vigoda
Random Structures and Algorithms, 31(3):251-272, 2007.
Preliminary version appears in SODA 2004.
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A Non-Markovian Coupling for Randomly
Sampling Colorings.
T. Hayes and E. Vigoda
Preliminary version appears in FOCS 2003.
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Improved bounds for sampling colorings.
E. Vigoda
Journal of Mathematical Physics, 41(3):1555-1569, 2000.
A preliminary version appears in FOCS 1999.
Machtey award co-winner for best student paper at FOCS 1999.
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A note on the Glauber dynamics for sampling independent sets.
E. Vigoda
Electronic Journal of Combinatorics, 8(1), Research paper 8, 2001.
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This paper subsumes:- Fast convergence of the Glauber dynamics for sampling independent sets.
M. Luby and E. Vigoda
Random Structures and Algorithms, 15(3-4):229-241, 1999. - Approximately Counting up to Four.
M. Luby and E. Vigoda
STOC 1997.
- Fast convergence of the Glauber dynamics for sampling independent sets.
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Torpid mixing of the Wang-Swendsen-Kotecky algorithm for sampling colorings.
T. Luczak, and E. Vigoda
Journal of Discrete Algorithms, 3(1):92-100, 2005.
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Torpid Mixing of Some Monte Carlo Markov Chain Algorithms in Statistical Physics
C. Borgs, J. T. Chayes, J-H. Kim, A. Frieze, P. Tetali, E. Vigoda, and V. H. Vu
FOCS 1999.
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