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Found 6 papers, 1 papers with code
Ridge Estimation with Nonlinear Transformations
The main result proves the inclusion relationship between ridges: $\cR(f\circ p)\subseteq \cR(p)$, provided that the transformation $f$ is strictly increasing and concave on the range of the function $p$.
Fast global convergence of gradient descent for low-rank matrix approximation
This paper investigates gradient descent for solving low-rank matrix approximation problems.
Bounded Projection Matrix Approximation with Applications to Community Detection
Community detection is an important problem in unsupervised learning.
Statistical Analysis of Karcher Means for Random Restricted PSD Matrices
Non-asymptotic statistical analysis is often missing for modern geometry-aware machine learning algorithms due to the possibly intricate non-linear manifold structure.
Quadratic Matrix Factorization with Applications to Manifold Learning
Motivated by manifold learning problems, this paper proposes a quadratic matrix factorization (QMF) framework to learn the curved manifold on which the dataset lies.
Distributed Sparse Multicategory Discriminant Analysis
This paper proposes a convex formulation for sparse multicategory linear discriminant analysis and then extend it to the distributed setting when data are stored across multiple sites.
