Mean Field Models for Spin Glasses
By Michel Talagrand. 2011
382 citations recorded by the source corpus.
Subfields: Condensed Matter Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/fdd9317c51bedcd52406f199b1f53669839bbdc0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Condensed Matter Physics
- Florent Krzakala
- Jean Barbier
- Nicolas Macris
- Pratik Chaudhari
- Andrea Montanari
- Michael I. Jordan
- Stefano Soatto
- Adel Javanmard
In Statistics and Probability
- Michael I. Jordan
- Florent Krzakala
- Stefano Soatto
- Adel Javanmard
- Andrea Montanari
- Jean Barbier
- Nicolas Macris
- Pratik Chaudhari
Citations in the corpus
- Fundamental limits of detection in the spiked Wigner model (2018, background): “See Talagrand (2011a), Lemma 1.6.3, for the details of a similar computation.”
- On the energy landscape of deep networks (2015, background): “An effective way of modifying this landscape is to perturb the Hamiltonian by a random magnetic field (Fyodorov, 2013) or another uncorrelated Hamiltonian (Talagrand, 2010).”
- Debiasing the lasso: Optimal sample size for Gaussian designs (2015, methodology): “Our proof is based on a leave-one out technique, and is partially inspired from ideas in mathematical spin glass theory [Tal10].”
- The adaptive interpolation method: a simple scheme to prove replica formulas in Bayesian inference (2018, background): “1 Introduction A very interesting development in probability theory in recent years has been the progress on a coherent mathematical theory [1, 2, 3, 4] of the predictions of the replica and cavity methods [5] in statistical physics of spin glasses.”
- The LASSO Risk for Gaussian Matrices (2010, background): “Unfortunately the methods of [28] require (among the other assumptions) a strongly convex cost function, which is not the case in the present problem.”