Work

Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches

Year: 2007

Type: conference-paper

Source: Lecture notes in computer science

Parent work: Machine Learning: ECML 2007

DOI: 10.1007/978-3-540-74958-5_28

Authors: Mark Schmidt, Glenn Fung, Rómer Rosales

Institutions: University of British Columbia, Siemens Healthcare (United States)

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W1504194272

FWCI: 29.69

Cites: 23

Cited by: 352

Related to: 10