Cover Image

Kernel Alignment for Unsupervised Feature Selection via Matrix Factorization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lin, Ziyuan, Needell, Deanna
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Numerical Analysis 65F10, 65F22, 90C26
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations
by: Bioli, Ivan, et al.
Published: (2024)

Fast $\ell_1$-Regularized EEG Source Localization Using Variable Projection
by: Solomon, Jack Michael, et al.
Published: (2025)

Fast & Fair: Efficient Second-Order Robust Optimization for Fairness in Machine Learning
by: Minch, Allen, et al.
Published: (2024)

Randomized Kaczmarz in Adversarial Distributed Setting
by: Huang, Longxiu, et al.
Published: (2023)

A Hybrid Iterative Neural Solver Based on Spectral Analysis for Parametric PDEs
by: Cui, Chen, et al.
Published: (2024)

Stochastic gradient descent for streaming linear and rectified linear systems with adversarial corruptions
by: Jeong, Halyun, et al.
Published: (2024)

A new iterated Tikhonov regularization method for Fredholm integral equation of first kind
by: Pang, Xiaowei, et al.
Published: (2025)

A Relaxed Randomized Averaging Block Extended Bregman-Kaczmarz Method for Combined Optimization Problems
by: Dong, Zeyu, et al.
Published: (2025)

A Neural-Operator Preconditioned Newton Method for Accelerated Nonlinear Solvers
by: Lee, Youngkyu, et al.
Published: (2025)

A federated Kaczmarz algorithm
by: Jeong, Halyun, et al.
Published: (2025)

Numerical Instabilities in the Kaczmarz Method and Stabilization by Iterative Refinement
by: Dereziński, Michał, et al.
Published: (2026)

Stochastic Gradient Descent for Incomplete Tensor Linear Systems
by: Ma, Anna, et al.
Published: (2025)

Discovering new phases via computing second-order stationary states of Landau-Brazovskii model
by: Bao, Chenglong, et al.
Published: (2026)

Uniform Approximation of Eigenproblems of a Large-Scale Parameter-Dependent Hermitian Matrix
by: Manucci, Mattia, et al.
Published: (2024)

An NEPv Approach for Feature Selection via Orthogonal OCCA with the (2,1)-norm Regularization
by: Wang, Li, et al.
Published: (2025)

H-CMRH: a novel inner product free hybrid Krylov method for large-scale inverse problems
by: Brown, Ariana N., et al.
Published: (2024)

Lopsided HSS Iterative Method and Preconditioner for a class of Complex Symmetric Linear System
by: Zhang, Yusong, et al.
Published: (2025)

Inexact inner-outer Golub-Kahan bidiagonalization method: A relaxation strategy
by: Darrigrand, Vincent, et al.
Published: (2022)

Generalized Golub-Kahan bidiagonalization for generalized saddle point systems
by: Wang, Na-Na, et al.
Published: (2025)

Chebyshev HOPGD with sparse grid sampling for parameterized linear systems
by: Correnty, Siobhán, et al.
Published: (2023)

Factorized sparse approximate inverse preconditioning for singular M-matrices
by: Bick, Katherina, et al.
Published: (2025)

Monotonicity, bounds and extrapolation of Block-Gauss and Gauss-Radau quadrature for computing $B^T ϕ(A) B$
by: Zimmerling, Jörn, et al.
Published: (2024)

A Krylov projection algorithm for large symmetric matrices with dense spectra
by: Druskin, Vladimir, et al.
Published: (2025)

Double precision is not necessary for LSQR for solving discrete linear ill-posed problems
by: Li, Haibo
Published: (2022)

Complex Stochastic Gradient Descent and Directional Bias in Reproducing Kernel Hilbert Spaces
by: Alpay, Natanael, et al.
Published: (2026)

A preconditioned difference of convex functions algorithm with extrapolation and line search
by: Zhang, Ran, et al.
Published: (2025)

Low-rank-modified Galerkin methods for the Lyapunov equation
by: Lund, Kathryn, et al.
Published: (2023)

Riemannian multigrid line search for low-rank problems
by: Sutti, Marco, et al.
Published: (2020)

Subspace projection regularization for large-scale Bayesian linear inverse problems
by: Li, Haibo
Published: (2023)

A Paired Autoencoder Framework for Inverse Problems via Bayes Risk Minimization
by: Hart, Emma, et al.
Published: (2025)

Projected Newton method for large-scale Bayesian linear inverse problems
by: Li, Haibo
Published: (2024)

Parameter Selection by GCV and a $χ^2$ test within Iterative Methods for $\ell_1$-regularized Inverse Problems
by: Sweeney, Brian, et al.
Published: (2024)

Preconditioning via Randomized Range Deflation (RandRAND)
by: Balabanov, Oleg, et al.
Published: (2025)

A $τ$-preconditioner for space fractional diffusion equation with non-separable variable coefficients
by: Lin, Xue-Lei, et al.
Published: (2024)

Hybrid LSMR algorithms for large-scale general-form regularization
by: Yang, Yanfei
Published: (2024)

Hybrid CGME and TCGME algorithms for large-scale general-form regularization
by: Yang, Yanfei
Published: (2023)

Kernel-based linear system identification using augmented Krylov subspaces
by: Matti, Fabio, et al.
Published: (2026)

nlKrylov: A Unified Framework for Nonlinear GCR-type Krylov Subspace Methods
by: Werner, Tom, et al.
Published: (2025)

Leveraging joint sparsity in hierarchical Bayesian learning
by: Glaubitz, Jan, et al.
Published: (2023)

A Tearing and Interconnecting Formulation for Magneto-Quasi-Statics
by: Pechstein, Clemens
Published: (2026)