z-logo
open-access-imgOpen Access
Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee
Author(s) -
Yi Xu,
Haiqin Yang,
Lijun Zhang,
Tianbao Yang
Publication year - 2017
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v31i1.10845
Subject(s) - dimensionality reduction , random projection , computer science , reduction (mathematics) , subspace topology , benchmark (surveying) , generalization , random matrix , matrix (chemical analysis) , empirical risk minimization , randomized algorithm , projection (relational algebra) , machine learning , artificial intelligence , algorithm , mathematics , eigenvalues and eigenvectors , mathematical analysis , physics , geometry , materials science , geodesy , quantum mechanics , composite material , geography

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom