The scaling limit of high-dimensional online independent component analysis
From MaRDI portal
Publication:5854112
DOI10.1088/1742-5468/ab39d6zbMath1459.62100arXiv1710.05384OpenAlexW2995272249MaRDI QIDQ5854112
Publication date: 16 March 2021
Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1710.05384
Computational methods for problems pertaining to statistics (62-08) Factor analysis and principal components; correspondence analysis (62H25) Online algorithms; streaming algorithms (68W27)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- High dimensional robust M-estimation: asymptotic variance via approximate message passing
- On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix
- A propagation of chaos result for a system of particles with moderate interaction
- Weak convergence and optimal scaling of random walk Metropolis algorithms
- Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis
- Phase Retrieval via Wirtinger Flow: Theory and Algorithms
- The dynamics of on-line principal component analysis
- 10.1162/jmlr.2003.4.7-8.1393
- On the out-of-equilibrium relaxation of the Sherrington-Kirkpatrick model
- The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing
- A CLASS OF MARKOV PROCESSES ASSOCIATED WITH NONLINEAR PARABOLIC EQUATIONS
This page was built for publication: The scaling limit of high-dimensional online independent component analysis