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We compute the large-scale limit of the free energy associated with the problem of inference of a finite-rank matrix.
Overlap matrix concentration in optimal Bayesian inference, preprint, arXiv:1904.02808
J. Barbier · 1904
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Solutions in the large for multi-dimensional, non-linear partial differential equations of first order
A. Douglis · 1965
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Generalized solutions of nonlinear equations of the first order with several variables. I
S. N. Kružkov · 1966
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Generalized solutions of nonlinear equations of the first order with several independent variables. II
S. N. Kružkov · 1967
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The Hamilton-Jacobi equation
S. H. Benton, Jr · 1977
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Universality in Sherrington-Kirkpatrick’s spin glass model
P. Carmona and Y. Hu · 2006
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Partial differential equations
L. C. Evans · 2010
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Information-theoretically optimal sparse PCA
Y. Deshpande and A. Montanari · 2014
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Phase transitions in sparse PCA
T. Lesieur, F. Krzakala, and L. Zdeborová · 2015
Cited alongside, same era.
Mutual information for symmetric rank-one matrix estimation: a proof of the replica formula
J. Barbier, M. Dia, N. Macris, F. Krzakala, T. Lesieur, and L. Zdeborová · 2016
Cited alongside, same era.
The adaptive interpolation method: a simple scheme to prove replica formulas in Bayesian inference
J. Barbier and N. Macris
Cited in the paper.
The layered structure of tensor estimation and its mutual information
J. Barbier, N. Macris, and L. Miolane · 2017
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Free energy in the Potts spin glass
D. Panchenko · 2018
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D. Panchenko · 2018
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Fundamental limits of symmetric low-rank matrix estimation
M. Lelarge and L. Miolane · 2019
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A. El Alaoui and F. Krzakala
Cited in the paper.
Hamilton-Jacobi equations for mean-field disordered systems, preprint, arXiv:1811.01432
J.-C. Mourrat
Cited in the paper.