Information theoretic limits of learning a sparse rule
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Publication:5078669
DOI10.1088/1742-5468/ac59acOpenAlexW3102452122MaRDI QIDQ5078669
Jean Barbier, Clément Luneau, Nicolas Macris
Publication date: 23 May 2022
Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2006.11313
Cites Work
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- A Mathematical Theory of Communication
- Statistics for high-dimensional data. Methods, theory and applications.
- Exact solution of the gauge symmetric \(p\)-spin glass model on a complete graph
- Information-theoretic thresholds from the cavity method
- Fundamental limits of symmetric low-rank matrix estimation
- The thermodynamic limit in mean field spin glass models
- Broken replica symmetry bounds in the mean field spin glass model
- The adaptive interpolation method: a simple scheme to prove replica formulas in Bayesian inference
- Statistical Mechanics of Learning
- Spatial Coupling as a Proof Technique and Three Applications
- Mutual Information and Minimum Mean-Square Error in Gaussian Channels
- Tight Bounds for LDPC and LDGM Codes Under MAP Decoding
- Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
- Griffith–Kelly–Sherman Correlation Inequalities: A Useful Tool in the Theory of Error Correcting Codes
- Sharp Bounds on Generalized EXIT Functions
- Course 5 An introduction to mean field spin glas theory: Methods and results
- Information, Physics, and Computation
- Generalization performance of Bayes optimal classification algorithm for learning a perceptron
- Asymptotic mutual information for the balanced binary stochastic block model
- Statistical Physics of Spin Glasses and Information Processing
- Sharp Bounds for Optimal Decoding of Low-Density Parity-Check Codes
- The adaptive interpolation method for proving replica formulas. Applications to the Curie–Weiss and Wigner spike models
- Mutual Information and Optimality of Approximate Message-Passing in Random Linear Estimation
- Optimal errors and phase transitions in high-dimensional generalized linear models
- The Replica-Symmetric Prediction for Random Linear Estimation With Gaussian Matrices Is Exact
- Estimation in Gaussian Noise: Properties of the Minimum Mean-Square Error
- Tight Bounds on the Capacity of Binary Input Random CDMA Systems
- Mean Field Models for Spin Glasses
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