Matrix inference and estimation in multi-layer models*

DOI10.1088/1742-5468/ac3a75OpenAlexW4206290801MaRDI QIDQ5020043

Mojtaba Sahraee-Ardakan, Philip Schniter, Alyson K. Fletcher, Parthe Pandit, Sundeep Rangan

Publication date: 3 January 2022

Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/1742-5468/ac3a75

zbMATH Keywords

statistical inferencemachine learningmessage-passing algorithmsinference of graphical models

Mathematics Subject Classification ID

Statistical mechanics, structure of matter (82-XX)

Uses Software

• Adam
• dnner
• lsd

Cites Work

• Unnamed Item
• Siegel's formula via Stein's identities
• Efficient High-Dimensional Inference in the Multiple Measurement Vector Problem
• A mean field view of the landscape of two-layer neural networks
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• Vector Approximate Message Passing
• Global Guarantees for Enforcing Deep Generative Priors by Empirical Risk
• Optimal errors and phase transitions in high-dimensional generalized linear models
• Sketched Clustering via Hybrid Approximate Message Passing
• Sketching for large-scale learning of mixture models
• The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing
• Sparse solutions to linear inverse problems with multiple measurement vectors
• A CDMA multiuser detection algorithm on the basis of belief propagation
• Optimal Transport

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