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Despite their exceptional flexibility and popularity, the Monte Carlo methods often suffer from slow mixing times for challenging statistical physics problems.
N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller, The Journal of Chemical Physics 21
1953
Earlier work this paper cites.
L. M. Falicov and J. C. Kimball, Physical Review Letters 22
1969
Earlier work this paper cites.
W. K. Hastings, Biometrika 57
1970
Earlier work this paper cites.
R. Blankenbecler, D. J. Scalapino, and R. L. Sugar, Physical Review D 24
1981
Earlier work this paper cites.
P. Smolensky (MIT Press, Cambridge, MA, USA, 1986) Chap. Information Processing in Dynamical Systems: Foundations of Harmony Theory, pp. 194–281
1986
Earlier work this paper cites.
S. Duane, A. D. Kennedy, B. J. Pendleton, and D. Roweth, Physics letters B 195
1987
Earlier work this paper cites.
R. H. Swendsen and J.-S. Wang, Physical Review Letters 58
1987
Earlier work this paper cites.
H. Yokoyama and H. Shiba, Journal of the Physical Society of Japan 56
1987
Earlier work this paper cites.
U. Wolff, Physical Review Letters 62
1989
Earlier work this paper cites.
H. G. Evertz, G. Lana, and M. Marcu, Phys. Rev. Lett. 70
1993
Earlier work this paper cites.
Y. Freund and D. Haussler, “Unsupervised learning of distributions of binary vectors using two layer networks,” (1994)
1994
Earlier work this paper cites.
N. V. Prokof’ev, Svistunov, BV, and I. S. Tupitsyn, Journal of Experimental and Theoretical Physics 87
1998
Earlier work this paper cites.
M. Newman and G. T. Barkema, Monte Carlo methods in statistical physics (Oxford, 1999)
1999
Earlier work this paper cites.
Y. Motome and N. Furukawa, Journal of the Physical Society of Japan 68
1999
Earlier work this paper cites.
W. M. Foulkes, L. Mitas, R. J. Needs, and G. Rajagopal, Reviews of Modern Physics 73
2001
Earlier work this paper cites.
F. Wang and D. P. Landau, Physical Review E 64
2001
Earlier work this paper cites.
J. L. Alonso, L. A. Fernandez, F. Guinea, V. Laliena, and V. Martin-Mayor, Nuclear Physics 596
2001
Earlier work this paper cites.
G. E. Hinton, Neural computation 14
2002
Earlier work this paper cites.
J. E. Gubernatis, The Monte Carlo Method in the Physical Sciences (AIP Conference Proceedings 690, 2003)
2003
Earlier work this paper cites.
P. Glasserman, Monte Carlo methods in financial engineering , Vol. 53 (Springer Science & Business Media, 2003)
2003
Earlier work this paper cites.
G. Alvarez and A. Feiguin, in Nanoscale Phase Separation and Colossal Magnetoresistance (Springer Berlin Heidelberg, Berlin, Heidelberg, 2003) pp. 125–156
2003
Earlier work this paper cites.
M. Mayr, G. Alvarez, C. Şen, and E. Dagotto, Physical Review Letters 94
2005
Earlier work this paper cites.
G. Alvarez, C. Şen, N. Furukawa, Y. Motome, and E. Dagotto, Computer Physics Communications 168
2005
Cited alongside, same era.
W. Krauth, Statistical Mechanics: Algorithms and Computations (Oxford University Press, UK, 2006)
2006
Cited alongside, same era.
B. F. Manly, Randomization, bootstrap and Monte Carlo methods in biology , Vol. 70 (CRC Press, 2006)
2006
Cited alongside, same era.
G. E. Hinton and R. R. Salakhutdinov, Science 313
2006
Cited alongside, same era.
M. Maśka and K. Czajka, Physical Review B 74
2006
Cited alongside, same era.
S. Kumar and P. Majumdar, The European Physical Journal B 50
2006
Cited alongside, same era.
Y. Bengio, G. Mesnil, Y. Dauphin, and S. Rifai, Proceedings of the 30th International Conference on Machine Learning , 552 (2013)
2013
Later among the works it cites.
L.-F. Arsenault, A. Lopez-Bezanilla, O. A. von Lilienfeld, and A. J. Millis, Physical Review B 90
2014
Later among the works it cites.
A. E. Antipov, E. Gull, and S. Kirchner, Physical Review Letters 112
2014
Later among the works it cites.
J. Nasu, M. Udagawa, and Y. Motome, Physical Review Letters 113
2014
Later among the works it cites.
J. Albert and R. H. Swendsen, Physics Procedia 57
2014
Later among the works it cites.
P. Mehta and D. J. Schwab, arXiv (2014) , 1410.3831
2014
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Y. Dubi, Y. Meir, and Y. Avishai, Nature 449
2007
Cited alongside, same era.
N. Le Roux and Y. Bengio, Neural computation 20
2008
Cited alongside, same era.
T. Tieleman, Training restricted Boltzmann machines using approximations to the likelihood gradient (ACM, New York, New York, USA, 2008)
2008
Cited alongside, same era.
G. Desjardins and Y. Bengio, Empirical evaluation of convolutional RBMs for vision (DIRO, 2008)
2008
Cited alongside, same era.
R. Salakhutdinov and G. E. Hinton, in The Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS’09) , Vol. 5 (2009) p. 448
2009
Cited alongside, same era.
M. Norouzi, M. Ranjbar, and G. Mori, in Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on (IEEE, 2009) pp. 2735–2742
2009
Cited alongside, same era.
Later among the works it cites.
J. Carlson, S. Gandolfi, F. Pederiva, S. C. Pieper, R. Schiavilla, K. E. Schmidt, and R. B. Wiringa, Reviews of Modern Physics 87
2015
Later among the works it cites.
L.-F. Arsenault, O. A. von Lilienfeld, and A. J. Millis, arXiv (2015) , 1506.08858
2015
Later among the works it cites.
J. Gubernatis, N. Kawashima, and P. Werner, Quantum Monte Carlo Methods (Cambridge University Press, 2016)
2016
Closest in time.
J. Carrasquilla and R. G. Melko, arXiv (2016) , 1605.01735
2016
Closest in time.
L. Wang, arXiv (2016) , 1606.00318
2016
Closest in time.
P. Broecker, J. Carrasquilla, R. G. Melko, and S. Trebst, arXiv (2016) , 1608.07848
2016
Closest in time.
K. Ch’ng, J. Carrasquilla, R. G. Melko, and E. Khatami, arXiv (2016) , 1609.02552
2016
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A. Tanaka and A. Tomiya, arXiv (2016) , 1609.09087
2016
Closest in time.
G. Carleo and M. Troyer, arXiv (2016) , 1606.02318
2016
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D.-L. Deng, X. Li, and S. Das Sarma, arXiv (2016) , 1609.09060
2016
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L. Li, T. E. Baker, S. R. White, and K. Burke, arXiv (2016) , 1609.03705
2016
Closest in time.
F. Brockherde, L. Li, K. Burke, and K.-R. Müller, arXiv (2016) , 1609.02815
2016
Closest in time.
A. E. Antipov, Y. Javanmard, P. Ribeiro, and S. Kirchner, Phys. Rev. Lett. 117
2016
Closest in time.
G. Torlai and R. G. Melko, arXiv (2016) , 1606.02718
2016
Closest in time.
J. Liu, Y. Qi, Z. Y. Meng, and L. Fu, arXiv (2016) , 1610.03137
2016
Closest in time.