Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (Or: How to Prove Kabashima’s Replica Formula)
Author:
Affiliation:
1. Laboratoire de Physique de l’Ecole normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université de Paris, Paris, France
2. IdePhics Laboratory, EPFL, Lausanne, Switzerland
Funder
French Agence Nationale de la Recherche
Swiss National Science Foundation through Swiss National Science Foundation (SNSF) OperaGOST
“Chaire de recherche sur les modèles et sciences des données,” Fondation Capital Fund Management (CFM) pour la Recherche-Ecole Normale Supérieure
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Library and Information Sciences,Computer Science Applications,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/18/10046300/09954059.pdf?arnumber=9954059
Reference49 articles.
1. Multi-layer generalized linear estimation
2. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
3. Vector approximate message passing for the generalized linear model
4. Inference from correlated patterns: a unified theory for perceptron learning and linear vector channels
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