Learning of couplings for random asymmetric kinetic Ising models revisited: random correlation matrices and learning curves

DOI10.1088/1742-5468/2015/09/P09016zbMath1456.82609arXiv1508.05865MaRDI QIDQ3302420

Ludovica Bachschmid-Romano, Manfred Opper

Publication date: 11 August 2020

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

Full work available at URL: https://arxiv.org/abs/1508.05865

Mathematics Subject Classification ID

Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs in time-dependent statistical mechanics (82C20)

Related Items (5)

Ising model selection using ℓ ₁-regularized linear regression: a statistical mechanics analysis* ⋮ A statistical physics approach to learning curves for the inverse Ising problem ⋮ Statistical mechanics of the inverse Ising problem and the optimal objective function ⋮ Structure learning in inverse Ising problems using ℓ ₂-regularized linear estimator ⋮ Learning performance in inverse Ising problems with sparse teacher couplings

Cites Work

• Unnamed Item
• Network inference with hidden units
• Theory of statistics
• Statistical Mechanics of Learning
• Inferring hidden states in a random kinetic Ising model: replica analysis
• Generalized mean field approximation for parallel dynamics of the Ising model
• Belief propagation and replicas for inference and learning in a kinetic Ising model with hidden spins
• Statistical Physics of Spin Glasses and Information Processing

This page was built for publication: Learning of couplings for random asymmetric kinetic Ising models revisited: random correlation matrices and learning curves