scientific article; zbMATH DE number 7064038

zbMath1489.68260MaRDI QIDQ5381111

Chih-Jen Lin, Ching-pei Lee, Po-Wei Wang

Publication date: 7 June 2019

Full work available at URL: http://jmlr.csail.mit.edu/papers/v20/16-309.html

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

optimizationconvergenceempirical risk minimization

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Nonlinear programming (90C30) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items

Limited-memory common-directions method for large-scale optimization: convergence, parallelization, and distributed optimization

Uses Software

• LIBLINEAR

Cites Work

• Gradient methods for minimizing composite functions
• On the limited memory BFGS method for large scale optimization
• Introductory lectures on convex optimization. A basic course.
• Analysis and Design of Optimization Algorithms via Integral Quadratic Constraints
• Quasi-Newton Methods, Motivation and Theory
• A finite newton method for classification
• Newton's Method for Large Bound-Constrained Optimization Problems
• Function minimization by conjugate gradients
• Some methods of speeding up the convergence of iteration methods
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item